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Likelihood principle
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1	DOC Document Add to Reading List Source URL: plg.uwaterloo.ca Language: English - Date: 2006-05-15 16:46:34 Statistical theory Entropy Information theory KullbackLeibler divergence Reliability engineering Cross entropy Statistics Maximum likelihood estimation Prediction Maximum entropy thermodynamics Principle of maximum entropy
2	Log-Linear Models Noah A. Smith∗ Department of Computer Science / Center for Language and Speech Processing Johns Hopkins University Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2015-07-30 17:51:19 Estimation theory Information theory Statistical theory Bayesian statistics M-estimators Maximum likelihood estimation Mutual information Principle of maximum entropy Conditional entropy Cross entropy Likelihood function Score
3	How biased are maximum entropy models? Jakob H. Macke Gatsby Computational Neuroscience Unit University College London, UK Add to Reading List Source URL: www.mackelab.org Language: English - Date: 2016-08-04 15:02:45 Statistical theory Information theory Randomness Statistical randomness Estimation theory Entropy Principle of maximum entropy KullbackLeibler divergence Maximum likelihood estimation Normal distribution Differential entropy Maximum entropy probability distribution
4	p-values: The insight to modern statistical inference D A S Fraser ∗ Add to Reading List Source URL: errorstatistics.files.wordpress.com Language: English - Date: 2016-06-28 14:43:14 Estimation theory Statistical theory Econometrics Bayesian statistics Statistical inference Likelihood function Confidence interval Sufficient statistic Bias of an estimator Observed information Maximum likelihood estimation Likelihood principle
5	The Frequentist Implications of Optional Stopping on Bayesian Hypothesis Tests Adam N. Sanborn Thomas T. Hills Department of Psychology, University of Warwick Abstract Add to Reading List Source URL: www2.warwick.ac.uk Language: English - Date: 2014-03-13 22:44:13 Statistical inference Hypothesis testing Design of experiments Statistical theory Philosophy of science Statistical hypothesis testing Bayesian inference P-value Null hypothesis Likelihood principle Frequentist probability Statistics
6	Jordan Journal of Mathematics and Statistics (JJMS) 4(1), 2011, ppLONGITUDINAL DATA ANALYSIS USING GENERALIZED MAXIMUM ENTROPY APPROACH MOHAMMAD Y. AL-RAWWASH(1) AND AMJAD D. AL-NASSER(2) Add to Reading List Source URL: journals.yu.edu.jo Language: English - Date: 2012-02-24 11:21:41 Estimation theory Maximum likelihood Generalized linear model Normal distribution Principle of maximum entropy Ordinary least squares Entropy Standard deviation Statistics Statistical theory Regression analysis
7	cover-datafirst-saldru_latest.indd Add to Reading List Source URL: www.datafirst.uct.ac.za Language: English - Date: 2013-11-21 08:16:49 Probability and statistics Statistical inference M-estimators Signal processing Maximum likelihood Normal distribution Principle of maximum entropy Estimator Entropy Statistics Statistical theory Estimation theory
8	Bayesian decision theory as a model of human visual perception: Testing Bayesian transfer Add to Reading List Source URL: psych.nyu.edu Language: English - Date: 2009-03-25 11:25:00 Statistical theory Bayesian inference Likelihood principle Prior probability Loss function Likelihood function Bayes estimator Statistics Bayesian statistics Estimation theory
9	Progress in NUCLEAR SCIENCE and TECHNOLOGY, Vol. 1, pFundamental Study on Neutron Spectrum Unfolding using Maximum Entropy and Maximum Likelihood Method Shigetaka MAEDA1,2, Hideki TOMITA1, Jun KAWARABAY Add to Reading List Source URL: www.aesj.or.jp Language: English* - Date: 2011-03-15 04:26:44 Physics Principle of maximum entropy Entropy Estimation theory Maximum likelihood Normal distribution Neutron detection Inverse problem Statistics Statistical theory Probability and statistics
10 $cc24j, CHAPTER 24 MODEL COMPARISON \Entities are not to be multiplied without necessity$	cc24j, CHAPTER 24 MODEL COMPARISON \Entities are not to be multiplied without necessity" - - - William of Ockham, ca 1330 We have seen in some detail how to conduct inferences { test hypotheses, estimate paramete Add to Reading List Source URL: www-biba.inrialpes.fr Language: English - Date: 2004-03-11 14:49:07 Estimation theory Statistical inference Model selection Maximum likelihood Likelihood function Bayesian inference Principle of maximum entropy Likelihood principle Prior probability Statistics Bayesian statistics Statistical theory