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1 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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
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 ... - 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 Maximum Entropy Principle - YouTube
https://www.youtube.com/watch?v=ynCkUHPEDOI
Nov 7, 2013
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87 (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 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 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 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 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 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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93 919 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 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 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 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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