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1

An attempt is made to determine the logically consistent rules for selecting a vector from any feasible set defined by linear constraints, when either all n ...

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**Why Least Squares and Maximum Entropy? An Axiomatic ...***https://projecteuclid.org/journals/annals-of-statistics/volume-19/issue-4/Why-Least-Squares-and-Maximum-Entropy-An-Axiomatic-Approach-to/10.1214/aos/1176348385.full*An attempt is made to determine the logically consistent rules for selecting a vector from any feasible set defined by linear constraints, when either all n ...

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2

An attempt is made to determine the logically consistent rules for selecting a vector from any feasible set defined by linear constraints, when.

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**Why Least Squares and Maximum Entropy? An ... - JSTOR***https://www.jstor.org/stable/2241918*An attempt is made to determine the logically consistent rules for selecting a vector from any feasible set defined by linear constraints, when.

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3

An attempt is made to determine the logically consistent rules for selecting a vector from any feasible set defined by linear constraints, ...

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**Why Least Squares and Maximum Entropy? An Axiomatic ...***https://www.researchgate.net/publication/38359595_Why_Least_Squares_and_Maximum_Entropy_An_Axiomatic_Approach_to_Inference_for_Linear_Inverse_Problems*An attempt is made to determine the logically consistent rules for selecting a vector from any feasible set defined by linear constraints, ...

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4

A hybrid analysis that combines the maximum entropy method (MEM) with nonlinear least squares (NLS) fitting has been developed to interpret a general ...

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**Analysis of kinetics using a hybrid maximum-entropy ... - NCBI***https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1302017/*A hybrid analysis that combines the maximum entropy method (MEM) with nonlinear least squares (NLS) fitting has been developed to interpret a general ...

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5

We propose a combined maximum entropy-least squares (ME-LS) estimator, by which O-D flows are distributed over the subnetwork so as to maximize the trip ...

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**A maximum entropy-least squares estimator for elastic origin ...***https://www.sciencedirect.com/science/article/pii/S1877042811010731*We propose a combined maximum entropy-least squares (ME-LS) estimator, by which O-D flows are distributed over the subnetwork so as to maximize the trip ...

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6

In an earlier study, the charge density was derived from the same data by refining the parameters of various anharmonic and/or bonding density models with the ...

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**Maximum entropy versus least-squares modeling of the ...***https://inis.iaea.org/search/search.aspx?orig_q=RN:26059267*In an earlier study, the charge density was derived from the same data by refining the parameters of various anharmonic and/or bonding density models with the ...

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7

Semantic Scholar extracted view of "Why least squares and maximum entropy? An axiomatic approach to inference for linear inverse problems" by I. Csiszár.

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**Why least squares and maximum entropy? An axiomatic approach ...***https://www.semanticscholar.org/paper/Why-least-squares-and-maximum-entropy-An-axiomatic-Csisz%C3%A1r/9e1d0d2a04f98a79d857951f9e38cb879bb32416*Semantic Scholar extracted view of "Why least squares and maximum entropy? An axiomatic approach to inference for linear inverse problems" by I. Csiszár.

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8

high dimensional problems. The implicit claim made by advocates and users of maximum entropy inversion is that these differences from least-squares reg-.

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**Maximum Entropy - and the - Nearly Black Object***http://digitalassets.lib.berkeley.edu/sdtr/ucb/text/213.pdf*high dimensional problems. The implicit claim made by advocates and users of maximum entropy inversion is that these differences from least-squares reg-.

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9

A new procedure for the maximum entropy spectral estimation is studied for the purpose of data processing in Fourier transform spectroscopy.

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**Least‐squares autoregressive (maximum entropy) spectral ...***https://aip.scitation.org/doi/10.1063/1.329527*A new procedure for the maximum entropy spectral estimation is studied for the purpose of data processing in Fourier transform spectroscopy.

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10

Density maps may show features which are only weakly related to the data, in particular near the atomic centers. In contrast, the density from maximum entropy ...

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**Maximum entropy versus least-squares modeling of the ... - IUCr***http://scripts.iucr.org/cgi-bin/paper?an0506*Density maps may show features which are only weakly related to the data, in particular near the atomic centers. In contrast, the density from maximum entropy ...

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11

Experience with the maximum entropy spectral analysis (MESA) method suggests that (1) it can produce inaccurate frequency estimates of short sample ...

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**Algorithms for least‐squares linear prediction and maximum ...***https://library.seg.org/doi/10.1190/1.1441091*Experience with the maximum entropy spectral analysis (MESA) method suggests that (1) it can produce inaccurate frequency estimates of short sample ...

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12

Monte Carlo simulation comparisons are also made between GME and partial least squares (PLS) methods in the presence of messy data. Three cases are considered: ...

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**Comparing generalised maximum entropy and partial least ...***https://www.tandfonline.com/doi/abs/10.1080/10485250903009037*Monte Carlo simulation comparisons are also made between GME and partial least squares (PLS) methods in the presence of messy data. Three cases are considered: ...

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13

Keywords: General linear model, inequality restricted least squares estimator, least squares estimator, maximum entropy esti-.

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**Generalized Maximum Entropy Estimators: Applications to the ...***https://openstatisticsandprobabilityjournal.com/VOLUME/3/PAGE/13/PDF/*Keywords: General linear model, inequality restricted least squares estimator, least squares estimator, maximum entropy esti-.

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14

The common method for extracting the mean function from the data is a generalized least squares (GLS) approach. However, when the soft data take the form of ...

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**Estimating the local mean for Bayesian ... - UQ eSpace***https://espace.library.uq.edu.au/view/UQ:f4032d8*The common method for extracting the mean function from the data is a generalized least squares (GLS) approach. However, when the soft data take the form of ...

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15

Accession Number: ADA086476. Title: Algorithms for Least-Squares Linear Prediction and Maximum Entropy Spectral Analysis. Part II. Fortran Program,. Descriptive ...

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**Algorithms for Least-Squares Linear Prediction and ... - DTIC***https://apps.dtic.mil/sti/citations/ADA086476*Accession Number: ADA086476. Title: Algorithms for Least-Squares Linear Prediction and Maximum Entropy Spectral Analysis. Part II. Fortran Program,. Descriptive ...

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16

Comparing Generalized Maximum Entropy and Partial Least Squares Methods for Structural Equation Models Enrico Ciavolinoa* and Amjad D. Al-Nasserb a ...

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**Comparing generalised maximum entropy and partial least ...***https://www.academia.edu/589748/Comparing_generalised_maximum_entropy_and_partial_least_squares_methods_for_structural_equation_models*Comparing Generalized Maximum Entropy and Partial Least Squares Methods for Structural Equation Models Enrico Ciavolinoa* and Amjad D. Al-Nasserb a ...

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17

The corresponding multichannel maximum-entropy spectrum derived from these least squares estimates of the autoregressive-model parameters is compared to that ...

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**Multichannel Linear Prediction and Maximum-Entropy ...***https://ieeexplore.ieee.org/document/4072257*The corresponding multichannel maximum-entropy spectrum derived from these least squares estimates of the autoregressive-model parameters is compared to that ...

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18

We propose a combined maximum entropy-least squares estimator, by which O–D flows are distributed over the subnetwork in terms of the maximum entropy ...

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**A maximum entropy-least squares estimator ... - IDEAS/RePEc***https://ideas.repec.org/a/eee/transb/v45y2011i9p1465-1482.html*We propose a combined maximum entropy-least squares estimator, by which O–D flows are distributed over the subnetwork in terms of the maximum entropy ...

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19

A new technique for time series analysis, which is a combination of the maximum entropy method (MEM) for spectral analysis and the non-linear least squares.

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**its value in heart rate variability analysis | SpringerLink***https://link.springer.com/article/10.1007/BF02534083*A new technique for time series analysis, which is a combination of the maximum entropy method (MEM) for spectral analysis and the non-linear least squares.

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20

... and I have used linear and nonlinear least squares, maximum likelihood, and GMM estimators, and I think i have learned a lot about each ...

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**How do entropy-based estimators relate to more conventional ...***https://stats.stackexchange.com/questions/594460/how-do-entropy-based-estimators-relate-to-more-conventional-ml-least-square-an*... and I have used linear and nonlinear least squares, maximum likelihood, and GMM estimators, and I think i have learned a lot about each ...

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21

GME estimation of the linear regression model provides an alternative to traditional estimation methods such as least-squares models or generalized linear ...

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**Generalized Maximum Entropy Estimation of Linear Models***https://journals.sagepub.com/doi/pdf/10.1177/1536867X1701700113*GME estimation of the linear regression model provides an alternative to traditional estimation methods such as least-squares models or generalized linear ...

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22

A generalized maximum entropy estimator is developed for the linear simultaneous equations model. Monte Carlo sampling experiments are used to evaluate the ...

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**Generalized Maximum Entropy Analysis of the Linear ... - MDPI***https://www.mdpi.com/1099-4300/16/2/825*A generalized maximum entropy estimator is developed for the linear simultaneous equations model. Monte Carlo sampling experiments are used to evaluate the ...

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23

The common method for extracting the mean function from the data is a generalized least squares (GLS) approach. However, when the soft data take the form of ...

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**Estimating the local mean for Bayesian maximum entropy by ...***https://agris.fao.org/agris-search/search.do?recordID=US201300743548*The common method for extracting the mean function from the data is a generalized least squares (GLS) approach. However, when the soft data take the form of ...

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24

Least Squares Regression, Continuum Regression, Lasso, Elastic Net, Least Angle Regression and Generalized Maximum Entropy are well suited to cope with ...

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**Ridge Regression and Generalized Maximum Entropy***https://ria.ua.pt/bitstream/10773/17966/1/PaperCIS-SC2017.pdf*Least Squares Regression, Continuum Regression, Lasso, Elastic Net, Least Angle Regression and Generalized Maximum Entropy are well suited to cope with ...

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25

The common method for extracting the mean function from the data is a generalized least squares (GLS) approach. However, when the soft data take ...

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**Estimating the local mean for Bayesian maximum entropy by ...***https://bsssjournals.onlinelibrary.wiley.com/doi/abs/10.1111/j.1365-2389.2006.00800.x*The common method for extracting the mean function from the data is a generalized least squares (GLS) approach. However, when the soft data take ...

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26

Experience with the maximum entropy spectral analysis (MESA) method suggests that (1) it can produce inaccurate frequency estimates of short ...

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**Algorithms for least-squares linear ... - GeoScienceWorld***https://pubs.geoscienceworld.org/geophysics/article/45/3/420/68421/Algorithms-for-least-squares-linear-prediction-and*Experience with the maximum entropy spectral analysis (MESA) method suggests that (1) it can produce inaccurate frequency estimates of short ...

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27

259 DERIVATION OF MAXIMUM ENTROPY AND LEAST SQUARES IMAGE RESTORATION FROM A ... We describe the role of Wiener filtering, maximum likelihood estimation and ...

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**Derivation of Maximum Entropy and Least Squares Image ...***https://adsabs.harvard.edu/full/1992ESOC...44..259B*259 DERIVATION OF MAXIMUM ENTROPY AND LEAST SQUARES IMAGE RESTORATION FROM A ... We describe the role of Wiener filtering, maximum likelihood estimation and ...

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28

The authors propose a combined maximum entropy-least squares (ME-LS) estimator, by which O-D flows are distributed over the subnetwork so as ...

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**A Maximum Entropy-least Squares Estimator ... - TRID Database***https://trid.trb.org/view/1105457*The authors propose a combined maximum entropy-least squares (ME-LS) estimator, by which O-D flows are distributed over the subnetwork so as ...

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29

Keywords: Illinois; Gaging network; Entropy; Generalized least square method; ... determine the stations with the highest amounts of SПiч. M. Markus et al.

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**Entropy and generalized least square methods in assessment ...***https://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1440&context=usgsstaffpub*Keywords: Illinois; Gaging network; Entropy; Generalized least square method; ... determine the stations with the highest amounts of SПiч. M. Markus et al.

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30

Keywords: regression model; generalised maximum entropy; GME; Monte Carlo experiment; ordinary least square; OLS. DOI: 10.1504/IJIDS.2018.10016400.

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**Article: A comparison of generalised maximum entropy and ...***https://www.inderscience.com/info/inarticle.php?artid=95495*Keywords: regression model; generalised maximum entropy; GME; Monte Carlo experiment; ordinary least square; OLS. DOI: 10.1504/IJIDS.2018.10016400.

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31

Comparing generalized maximum entropy and partial least squares methods for structural equation models. J. Nonparam. Stat., 21: 1017-1036.

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**Multilevel Linear Models Analysis using ... - Science Alert***https://scialert.net/abstractmobile/?doi=ajms.2010.111.118*Comparing generalized maximum entropy and partial least squares methods for structural equation models. J. Nonparam. Stat., 21: 1017-1036.

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32

A hybrid analysis that combines the maximum entropy method (MEM) with nonlinear least squares (NLS) fitting has been developed to interpret a general ...

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**Analysis of kinetics using a hybrid maximum-entropy ...***https://search.proquest.com/openview/8617813ab49957815aeb815c1946e975/1?pq-origsite=gscholar&cbl=7454*A hybrid analysis that combines the maximum entropy method (MEM) with nonlinear least squares (NLS) fitting has been developed to interpret a general ...

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33

We compared the generalized maximum entropy (GME) estimator, least squares and inequality restricted least squares (IRLS) estimator on the ...

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**Generalized Maximum Entropy Estimators - Bentham Open***https://benthamopen.com/ABSTRACT/TOSPJ-3-13*We compared the generalized maximum entropy (GME) estimator, least squares and inequality restricted least squares (IRLS) estimator on the ...

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34

Like SUR in the least squares setting, the generalized maximum entropy SUR (GME-SUR) method assumes that all the regressors are independent ...

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**Maximum Entropy-Based Seemingly Unrelated Regression***https://documentation.sas.com/doc/en/etsug/15.1/etsug_entropy_details06.htm*Like SUR in the least squares setting, the generalized maximum entropy SUR (GME-SUR) method assumes that all the regressors are independent ...

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35

least squares. After all equation (1) is just a linear model, and an estimate of x can be obtained from the least squares principle XLs = arg minx ...

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**Maximum Entropy and the Nearly Black Object***https://web.stanford.edu/dept/statistics/cgi-bin/donoho/wp-content/uploads/2018/08/MENBO.pdf*least squares. After all equation (1) is just a linear model, and an estimate of x can be obtained from the least squares principle XLs = arg minx ...

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36

The b values calculated using the Maximum Entropy Principle (MEP) are compared to those obtained by conventional methods of Least Squares (LS) and Maximum ...

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**Welcome to the OA Earth-prints Repository!***https://www.earth-prints.org/handle/2122/1374*The b values calculated using the Maximum Entropy Principle (MEP) are compared to those obtained by conventional methods of Least Squares (LS) and Maximum ...

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37

The generalised maximum entropy (GME) estimation method is based ... A comparison of generalised maximum entropy and ordinary least square.

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**A comparison of generalised maximum entropy and ordinary ...***https://www.inderscienceonline.com/doi/abs/10.1504/IJIDS.2018.095495*The generalised maximum entropy (GME) estimation method is based ... A comparison of generalised maximum entropy and ordinary least square.

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38

and discusses the Generalized Maximum Entropy (GME) estimation method that ... significantly biased using Goldstein's generalized least squares approach.

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**Multilevel Linear Models Analysis using Generalized ...***http://docsdrive.com/pdfs/ansinet/ajms/2010/111-118.pdf*and discusses the Generalized Maximum Entropy (GME) estimation method that ... significantly biased using Goldstein's generalized least squares approach.

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39

gression residuals could be reduced to the least squares problem or, equivalently, to ... tion can be “recovered” from the maximum entropy principle with a ...

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**Regression Analysis: Likelihood, Error and Entropy***https://leicester.figshare.com/articles/journal_contribution/Regression_analysis_likelihood_error_and_entropy/10202153/1/files/18388316.pdf*gression residuals could be reduced to the least squares problem or, equivalently, to ... tion can be “recovered” from the maximum entropy principle with a ...

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40

Estimation Methods for the Structural Equation Models: Maximum Likelihood, Partial Least Squares and Generalized Maximum Entropy · Keywords.

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**Estimation Methods for the Structural Equation Models***http://www.jaqm.ro/issues/volume-7,issue-2/1_crisci.php*Estimation Methods for the Structural Equation Models: Maximum Likelihood, Partial Least Squares and Generalized Maximum Entropy · Keywords.

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41

Comparison of maximum entropy spectral analysis (MESA) and least‐squares linear prediction (LSLP) methods for some artificial samples.

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**Comparison of maximum entropy spectral analysis ... - Kudos***https://www.growkudos.com/publications/10.1190%252F1.1441323*Comparison of maximum entropy spectral analysis (MESA) and least‐squares linear prediction (LSLP) methods for some artificial samples.

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42

... to the ordinary least-squares (OLS) estimator because it depends upon unknown parameters. The generalized maximum entropy (GME) estimator of Golan, ...

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**MELE: Maximum Entropy Leuven Estimators - eScholarship***https://escholarship.org/uc/item/66q143ht*... to the ordinary least-squares (OLS) estimator because it depends upon unknown parameters. The generalized maximum entropy (GME) estimator of Golan, ...

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43

The regularized solution is shown to converge to the solution of the maximum entropy least squares problem, assuming it exists.

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**Maximum Entropy Regularization for Fredholm Integral ...***https://epubs.siam.org/doi/10.1137/0524088*The regularized solution is shown to converge to the solution of the maximum entropy least squares problem, assuming it exists.

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44

and the FE regions as compared to the use of moving least square basis functions. In this new approach, there is no need for interface/transition elements ...

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**Local maximum entropy shape functions based FE-EFGM ...***https://core.ac.uk/download/pdf/42366520.pdf*and the FE regions as compared to the use of moving least square basis functions. In this new approach, there is no need for interface/transition elements ...

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45

the Ordinary Least Squares. Golan et al. (1996) introduced the Generalized Maximum Entropy (GME) estimator to resolve the multicollinearity problem in ...

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**Multicollinearity and Maximum Entropy Leuven Estimator***https://papers.ssrn.com/sol3/Delivery.cfm?abstractid=556564*the Ordinary Least Squares. Golan et al. (1996) introduced the Generalized Maximum Entropy (GME) estimator to resolve the multicollinearity problem in ...

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46

... the generalized maximum entropy estimator has lower risk than either the ordinary least squares or the inequality restricted least squares estimators.

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**An Empirical Examination of Maximum Entropy Estimation.***https://digitalcommons.lsu.edu/cgi/viewcontent.cgi?article=7913&context=gradschool_disstheses*... the generalized maximum entropy estimator has lower risk than either the ordinary least squares or the inequality restricted least squares estimators.

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47

of the tuning parameter λ for the maximum entropy and minimum 7-methods and would be ... The priors for least squares regularization have rapidly decaying ...

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**discussion of the paper by donoho, johnstone, hoch and stern***http://www.stat.columbia.edu/~gelman/research/published/donoho.pdf*of the tuning parameter λ for the maximum entropy and minimum 7-methods and would be ... The priors for least squares regularization have rapidly decaying ...

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48

Based on the maximum entropy method, we gave a better estimate ... is an alternative estimator to least squares (Wilawan Srichaikul, 2018).

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**Maximum Entropy Estimation: Agronomic Dataset***http://article.sapub.org/10.5923.j.ajms.20211103.02.html*Based on the maximum entropy method, we gave a better estimate ... is an alternative estimator to least squares (Wilawan Srichaikul, 2018).

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49

I TABLE. Short Note. Comparison of maximum entropy spectral analysis (MESA) and least-squares linear prediction (LSLP) methods for some artificial samples.

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**Comparison of maximum entropy spectral analysis (MESA ...***https://www.prl.res.in/~library/kane_rp_47_12_1731_1982.pdf*I TABLE. Short Note. Comparison of maximum entropy spectral analysis (MESA) and least-squares linear prediction (LSLP) methods for some artificial samples.

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50

a maximum entropy problem with certain constraints. This unifying view lifts the strict separation in ... least square adjustment of a sampled frequency ta-.

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**On Improving the Efficiency of the Iterative Proportional Fitting ...***http://proceedings.mlr.press/r4/teh03a/teh03a.pdf*a maximum entropy problem with certain constraints. This unifying view lifts the strict separation in ... least square adjustment of a sampled frequency ta-.

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51

PARTIAL LEAST SQUARE PATH MODELLING AND MAXIMUM ENTROPY FOR THE STUDY OF ENTREPRENEURSHIP EDUCATION IN NAPLES UNIVERSITY. Language: English; Authors: Crisci, ...

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**Deducing Multidecadal Anthropogenic Global Warming ...***https://search.ebscohost.com/login.aspx?direct=true&profile=ehost&scope=site&authtype=crawler&jrnl=18246672&AN=146540810&h=2OuxXTU%2BxamOJ%2Bpu%2BX5aHth8Te7zcvwQBykTLqRr2raVHJx08Q4zuLNxLMJx6k8yf42QeXFBPazbGOAe93y61g%3D%3D&crl=c*PARTIAL LEAST SQUARE PATH MODELLING AND MAXIMUM ENTROPY FOR THE STUDY OF ENTREPRENEURSHIP EDUCATION IN NAPLES UNIVERSITY. Language: English; Authors: Crisci, ...

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52

least-squares phases. d, Tyrosine-11 in a maximum entropy recon- struction iteratively developed from the data and phases used in a. Nature Vol.

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**Electron density images from imperfect data by iterative ...***https://www.nature.com/articles/298049a0.pdf*least-squares phases. d, Tyrosine-11 in a maximum entropy recon- struction iteratively developed from the data and phases used in a. Nature Vol.

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53

When the error distribution is non-normal, the efficiency of the least squares estimator deteriorates. For example, when the error distribution has “fatter” ...

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**Partially Adaptive Estimation via the Maximum Entropy ...***http://agecon2.tamu.edu/people/faculty/wu-ximing/agecon2/public/pae.pdf*When the error distribution is non-normal, the efficiency of the least squares estimator deteriorates. For example, when the error distribution has “fatter” ...

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54

The motivation is twofold: first, maximizing entropy minimizes the amount of prior information built into the distribution; second, many physical systems tend ...

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**Maximum entropy probability distribution - Wikipedia***https://en.wikipedia.org/wiki/Maximum_entropy_probability_distribution*The motivation is twofold: first, maximizing entropy minimizes the amount of prior information built into the distribution; second, many physical systems tend ...

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55

› rep › sid.inpe.br › banon

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**Comparison of maximum entropy spectral analysis (mesa)and ...***http://marte3.sid.inpe.br/rep/sid.inpe.br/iris@1905/2005/07.27.14.29.45?mirror=sid.inpe.br/banon/2001/04.03.15.36.19&metadatarepository=sid.inpe.br/iris@1905/2005/07.27.14.30*› rep › sid.inpe.br › banon

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56

9.2 Generalized linear models. For an outcome variable that is continuous and far from any theoretical maximum or minimum, [a simple] Gaussian model has maximum ...

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**9 Big Entropy and the Generalized Linear Model - Bookdown***https://bookdown.org/ajkurz/Statistical_Rethinking_recoded/big-entropy-and-the-generalized-linear-model.html*9.2 Generalized linear models. For an outcome variable that is continuous and far from any theoretical maximum or minimum, [a simple] Gaussian model has maximum ...

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57

We formulate generalized maximum entropy estimators for the general linear ... spatial effects in econometrics, discussing least squares, maximum likelihood ...

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**GENERALIZED MAXIMUM ENTROPY ESTIMATION OF A ...***https://www.emerald.com/insight/content/doi/10.1016/S0731-9053(04)18006-7/full/pdf?title=generalized-maximum-entropy-estimation-of-a-first-order-spatial-autoregressive-model*We formulate generalized maximum entropy estimators for the general linear ... spatial effects in econometrics, discussing least squares, maximum likelihood ...

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58

The three entropy measures (Shannon, Tsallis and Renyi entropy) are used as ordinary least squares estimator and generalized maximum entropy estimator.

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**Comparison of entropy measures in generalized maximum ...***https://iopscience.iop.org/article/10.1088/1742-6596/1053/1/012021*The three entropy measures (Shannon, Tsallis and Renyi entropy) are used as ordinary least squares estimator and generalized maximum entropy estimator.

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59

The GME command implements Generalized Entropy methods. ... See the chapter ORDINARY LEAST SQUARES in the SHAZAM Reference Manual.

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**GME Reference Options - SHAZAM Econometrics Software***https://www.econometrics.com/reference/generalized-entropy-methods.html*The GME command implements Generalized Entropy methods. ... See the chapter ORDINARY LEAST SQUARES in the SHAZAM Reference Manual.

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60

simultaneously generalizes the maximum entropy and standard least squares principles, and leads to a matrix approximation that is optimal among all ...

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**A Generalized Maximum Entropy Approach to Bregman Co ...***https://www.cs.utexas.edu/~inderjit/public_papers/bregmancoclustering_jmlr.pdf*simultaneously generalizes the maximum entropy and standard least squares principles, and leads to a matrix approximation that is optimal among all ...

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61

lyzed by using generalized maximum entropy estimator of the log-regression ... with the ordinary least squares (OLS) estimator by Monte Carlo simulations ...

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**Use of Generalized Maximum Entropy Estimation for Freight ...***https://jds-online.org/journal/JDS/article/1209/file/pdf*lyzed by using generalized maximum entropy estimator of the log-regression ... with the ordinary least squares (OLS) estimator by Monte Carlo simulations ...

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62

proposed a generalized maximum entropy(GME) approach and showed that their approach provides a better alternative to classical least squares ...

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**Dual Generalized Maximum Entropy Estimation for Panel Data ...***https://www.kss.or.kr/jounalDown.php?IDX=3583*proposed a generalized maximum entropy(GME) approach and showed that their approach provides a better alternative to classical least squares ...

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63

Some comparisons have been also made between estimated methods of Generalized Maximum Entropy, Partial least Squares and Maximum Likelihood Estimation on 40 ...

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**THE SIMULTANEOUS EQUATION MODEL BASED ON ... - SID.ir***https://www.sid.ir/en/Journal/ViewPaper.aspx?ID=386204*Some comparisons have been also made between estimated methods of Generalized Maximum Entropy, Partial least Squares and Maximum Likelihood Estimation on 40 ...

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64

Why least squares and maximum entropy? an axiomatic approach to inference for linear inverse problems. I. Csiszar. Annals Statist.

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**Categorical Distributions of Maximum Entropy under Marginal ...***https://inspirehep.net/literature/2064398*Why least squares and maximum entropy? an axiomatic approach to inference for linear inverse problems. I. Csiszar. Annals Statist.

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65

lationships is found in least squares optimization. Least squares is often used as a deterministic approach, without regard to signal statistics, ...

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**A new look at maximum entropy image reconstruction***https://www.et.byu.edu/~bjeffs/publications/Willis_ASILOMAR_99.pdf*lationships is found in least squares optimization. Least squares is often used as a deterministic approach, without regard to signal statistics, ...

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66

... Liu and Maximum Entropy Estimators to the Portland Cement Dataset ... of regression coefficients by the Ordinary Least Squares.

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**Application of Restricted Liu and Maximum Entropy Estimators ...***https://mpra.ub.uni-muenchen.de/1809/*... Liu and Maximum Entropy Estimators to the Portland Cement Dataset ... of regression coefficients by the Ordinary Least Squares.

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67

Csiszar, I. (1991). Why least squares and maximum entropy? An axiomatic approach to inference for linear inverse problems. The Annals of ...

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**The Journey from Entropy to Generalized Maximum Entropy***https://ojs.umt.edu.pk/index.php/jqm/article/view/32*Csiszar, I. (1991). Why least squares and maximum entropy? An axiomatic approach to inference for linear inverse problems. The Annals of ...

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68

The models employ Bayesian inference methods or least squares estimation techniques to achieve their objective. The maximum entropy or the minimum information ...

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**2.0 Literature Review - VTechWorks***https://vtechworks.lib.vt.edu/bitstream/handle/10919/31143/Chapter2.pdf?sequence=2*The models employ Bayesian inference methods or least squares estimation techniques to achieve their objective. The maximum entropy or the minimum information ...

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69

a true deus ex machina, applies equally well to least-squares and entropic variational problems with linear constraints. Can this geometric result then be ...

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**On the Geometry of Maximum Entropy Problems - Math-Unipd***https://www.math.unipd.it/~pavon/Site/Publications_files/SIREV2013.pdf*a true deus ex machina, applies equally well to least-squares and entropic variational problems with linear constraints. Can this geometric result then be ...

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70

inherently linear and optimal in the least-squares sense, the singular value decom- position is robust for data that are obtained from ...

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**Maximum Entropy Snapshot Sampling for Reduced Basis ...***https://arxiv.org/pdf/2005.01280*inherently linear and optimal in the least-squares sense, the singular value decom- position is robust for data that are obtained from ...

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71

MAXIMUM ENTROPY SPECTRAL ANALYSIS – PROGRAM spec_max_entropy. Contents ... reweighted least-squares regularization algorithm.

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**Spectral Attributes: Program spec_max_entropy***http://mcee.ou.edu/aaspi/documentation/Spectral_Attributes-spec_max_entropy.pdf*MAXIMUM ENTROPY SPECTRAL ANALYSIS – PROGRAM spec_max_entropy. Contents ... reweighted least-squares regularization algorithm.

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72

... the best implementations of other methods, including Goodness-of-Fit (e.g. Least-Squares and Lucy-Richardson) and Maximum Entropy (ME).

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**beyond maximum entropy: fractal pixon-based image ...***https://ntrs.nasa.gov/citations/19950031364*... the best implementations of other methods, including Goodness-of-Fit (e.g. Least-Squares and Lucy-Richardson) and Maximum Entropy (ME).

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73

To assess the feasibility of using a hybrid Maximum-Entropy/Nonlinear Least Squares (MEM/NLS) method for analyzing the kinetics of hyperpolarized dynamic data ...

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**Kinetic analysis of hyperpolarized data with minimum a priori ...***https://kclpure.kcl.ac.uk/portal/en/publications/kinetic-analysis-of-hyperpolarized-data-with-minimum-a-priori-knowledge(4ca15cc4-0cdc-4e05-acf8-014c113a4646).html*To assess the feasibility of using a hybrid Maximum-Entropy/Nonlinear Least Squares (MEM/NLS) method for analyzing the kinetics of hyperpolarized dynamic data ...

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74

We propose a data-driven method to select the weights in the entropy objective function. We use the least squares cross validation to derive the optimal ...

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**A Weighted Generalized Maximum Entropy Estimator with a ...***https://labordoc.ilo.org/discovery/fulldisplay?docid=cdi_proquest_journals_1537900260&context=PC&vid=41ILO_INST:41ILO_V1&lang=en&search_scope=MyInst_and_CI&adaptor=Primo%20Central&tab=Everything&query=creator%2Cexact%2CWu%2C%20Ximing&facet=creator%2Cexact%2CWu%2C%20Ximing*We propose a data-driven method to select the weights in the entropy objective function. We use the least squares cross validation to derive the optimal ...

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75

To overcome these problems, we propose a dual generalized maximum entropy (dual GME) ... such as using least squares and instruments even in small samples.

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**Dual Generalized Maximum Entropy ... - KoreaScience***https://www.koreascience.or.kr/article/JAKO201428854482456.page*To overcome these problems, we propose a dual generalized maximum entropy (dual GME) ... such as using least squares and instruments even in small samples.

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76

of the differential equation is approximated using maximum entropy (maxent) basis functions ... replaced with summation and it becomes a least squares.

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**Data-driven Solution of Stochastic Differential Equations ...***https://par.nsf.gov/servlets/purl/10190784*of the differential equation is approximated using maximum entropy (maxent) basis functions ... replaced with summation and it becomes a least squares.

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77

moving least squares being the most common choice. A recent development in this direction has been the construction of maximum-entropy (MAXENT) approximates ...

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**deriving the continuity of maximum-entropy basis functions via ...***https://imechanica.org/files/maxentepi.pdf*moving least squares being the most common choice. A recent development in this direction has been the construction of maximum-entropy (MAXENT) approximates ...

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78

To accomplish the above tasks, we introduce a new minimum Bregman information (MBI) principle that simultaneously generalizes the maximum entropy and standard ...

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**A Generalized Maximum Entropy Approach to Bregman Co ...***https://www.jmlr.org/papers/v8/banerjee07a.html*To accomplish the above tasks, we introduce a new minimum Bregman information (MBI) principle that simultaneously generalizes the maximum entropy and standard ...

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79

The maximum entropy method is usually stated in a deceptively simple way: from among all the probability distributions compatible with ...

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**Maximum Entropy Methods (MaxEnt)***http://bactra.org/notebooks/max-ent.html*The maximum entropy method is usually stated in a deceptively simple way: from among all the probability distributions compatible with ...

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80

A shortcut trick: Maximum Likelihood ... The equation above looks simple but it is notoriously tricky to compute in practice — because of ...

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**Where did the least-square come from? - Towards Data Science***https://towardsdatascience.com/where-did-the-least-square-come-from-3f1abc7f7caf*A shortcut trick: Maximum Likelihood ... The equation above looks simple but it is notoriously tricky to compute in practice — because of ...

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81

In this paper, we prove the continuity of maximum-entropy basis functions using ... multivariate approximation, tensor-product splines, moving least squares ...

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**deriving the continuity of maximum-entropy basis functions via ...***https://www.math.ucdavis.edu/~rjbw/mypage/Miscellaneous_files/SkmW08.pdf*In this paper, we prove the continuity of maximum-entropy basis functions using ... multivariate approximation, tensor-product splines, moving least squares ...

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82

GME estimator outperforms other alternatives like least squares and maximum likelihood estimators when the true quantile parameter is ...

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**Maximum Entropy Quantile Regression with Unknown Quantile***http://thaijmath.in.cmu.ac.th/index.php/thaijmath/article/viewFile/3011/927*GME estimator outperforms other alternatives like least squares and maximum likelihood estimators when the true quantile parameter is ...

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83

generalized maximum entropy estimator is superior in mean square error to two and three stage least squares. Analytical results are provided ...

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**Generalized Maximum Entropy Analysis of the Linear ...***https://kipdf.com/download/generalized-maximum-entropy-analysis-of-the-linear-simultaneous-equations-model_5aad54a71723ddc2ec87cec1.html*generalized maximum entropy estimator is superior in mean square error to two and three stage least squares. Analytical results are provided ...

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84

The classical least squares approach ... of the generalized maximum entropy (GME) approach for linear models is given. Section 4 extended the generalized ...

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**Generalized Maximum Entropy Estimation in Measurement ...***http://www.ainoscopress.com/fulltext/IJITAS/IJITAS%203(4).pdf*The classical least squares approach ... of the generalized maximum entropy (GME) approach for linear models is given. Section 4 extended the generalized ...

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85

Generalized maximum entropy, human resources, leadership, maximum likelihood estimation, partial least squares, performance, ...

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**Digitala Vetenskapliga Arkivet - DiVA***http://www.diva-portal.org/smash/record.jsf?pid=diva2:223391*Generalized maximum entropy, human resources, leadership, maximum likelihood estimation, partial least squares, performance, ...

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86

Nov 7, 2013

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**Maximum Entropy Principle - YouTube***https://www.youtube.com/watch?v=ynCkUHPEDOI*Nov 7, 2013

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87

Int. J. Miner. Process. 57 1999 219–241 The maximum entropy approach and comparison with the least squares approach for flowsheet mass balance A.I.A. Salama ...

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**(PDF) The maximum entropy approach and comparison with the ...***https://dokumen.tips/documents/the-maximum-entropy-approach-and-comparison-with-the-least-squares-approach.html*Int. J. Miner. Process. 57 1999 219–241 The maximum entropy approach and comparison with the least squares approach for flowsheet mass balance A.I.A. Salama ...

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88

The ordinary least square (OLS) method is tailored to the linear regression model. If the data is not too weird, it should always give a decent ...

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**Appreciate Ordinary Least Square and Maximum Likelihood ...***https://openclassrooms.com/en/courses/5873596-design-effective-statistical-models-to-understand-your-data/6233001-appreciate-ordinary-least-square-and-maximum-likelihood-estimation*The ordinary least square (OLS) method is tailored to the linear regression model. If the data is not too weird, it should always give a decent ...

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89

by Y Feng · 2018 · Cited by 1 —

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**Critical Limit Principle of Maximum Entropy and ...***https://www.scirp.org/journal/paperinformation.aspx?paperid=87314*by Y Feng · 2018 · Cited by 1 —

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90

Maximum entropy models have become popular statistical models in neuroscience ... these choices of parameters, the maximum and minimum normalized bias did ...

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**How biased are maximum entropy models?***https://www.gatsby.ucl.ac.uk/~pel/papers/MackeEtalNIPS2011MaxEnt.pdf*Maximum entropy models have become popular statistical models in neuroscience ... these choices of parameters, the maximum and minimum normalized bias did ...

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91

minimum cluster membership ... in n groups of equal variance, minimizing a criterion known as the inertia or within-cluster sum-of-squares (see below).

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**2.3. Clustering — scikit-learn 1.1.3 documentation***https://scikit-learn.org/stable/modules/clustering.html*minimum cluster membership ... in n groups of equal variance, minimizing a criterion known as the inertia or within-cluster sum-of-squares (see below).

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92

Regarding each possible configuration of the particles as equally likely, the chaotic state (the state of maximum entropy) is so enormously more likely than ...

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**Physics | Definition, Types, Topics, Importance, & Facts***https://www.britannica.com/science/physics-science*Regarding each possible configuration of the particles as equally likely, the chaotic state (the state of maximum entropy) is so enormously more likely than ...

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93

CRAIG, H. V. On the Solution of the Euler Equations for their Highest Deriva- ... JONES, B. W. Certain Quinary Forms related to the Sum of Five Squares, 721 ...

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**919 INDEX OF VOLUME XXXVI***https://www.ams.org/journals/bull/1930-36-12/S0002-9904-1930-05090-9/S0002-9904-1930-05090-9.pdf*CRAIG, H. V. On the Solution of the Euler Equations for their Highest Deriva- ... JONES, B. W. Certain Quinary Forms related to the Sum of Five Squares, 721 ...

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94

Equation for entropy of a discrete probability distribution (p). In RL, the goal is typically formaized as optimizing the long-term sum of ...

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**Maximum Entropy Policies in Reinforcement Learning ...***https://awjuliani.medium.com/maximum-entropy-policies-in-reinforcement-learning-everyday-life-f5a1cc18d32d*Equation for entropy of a discrete probability distribution (p). In RL, the goal is typically formaized as optimizing the long-term sum of ...

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95

We know that the alligator always points towards the largest value. We can remember the greater than ... Long Division Calculator · Entropy Calculator.

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**Greater Than Less Than Calculator - Free Online Calculator***https://byjus.com/greater-than-less-than-calculator/*We know that the alligator always points towards the largest value. We can remember the greater than ... Long Division Calculator · Entropy Calculator.

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96

Herniter's Maximum Entropy framework for zero-order consumer brand ... gO,max values under HME, the SPT approximation and the least squares.

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**Onderzoeksrapport Nr. 8305 MAXIMUM ENTROPY ...***https://lirias.kuleuven.be/retrieve/273931*Herniter's Maximum Entropy framework for zero-order consumer brand ... gO,max values under HME, the SPT approximation and the least squares.

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