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Likelihood principle
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81	Learning Informative Statistics: A Nonparametric Approach John W. Fisher III, Alexander T. Ihler, and Paul A. Viola Massachusetts Institute of Technology 77 Massachusetts Ave., 35-421 Add to Reading List Source URL: ssg.mit.edu Language: English - Date: 2012-02-01 13:34:22 Information theory Kullback–Leibler divergence Entropy Sufficient statistic Estimation theory Principle of maximum entropy Maximum likelihood Gaussian function Statistical hypothesis testing Statistics Statistical theory Normal distribution
82	Local Likelihood Modeling of Temporal Text Streams Guy Lebanon Yang Zhao Department of Statistics, Purdue University – West Lafayette, IN 47907 Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-05-01 14:30:50 M-estimators Regression analysis Econometrics Maximum likelihood Nonparametric regression Likelihood principle Likelihood function Kernel smoother Expectation–maximization algorithm Statistics Estimation theory Non-parametric statistics
83	Estimating Nonlinear Dynamic Equilibrium Economies: A Likelihood Approach∗ Jesús Fernández-Villaverde Juan F. Rubio-Ramírez Add to Reading List Source URL: www.clevelandfed.org Language: English - Date: 2004-08-23 21:09:26 Maximum likelihood Entailment M-estimator Likelihood principle Importance sampling Kalman filter Differential geometry of curves Likelihood function Economic model Statistics Estimation theory Bayes factor
84	Microsoft Word - TR #004.doc Add to Reading List Source URL: edocs.nps.edu Language: English - Date: 2004-05-04 12:10:14 Likelihood function Fisher information Gamma distribution Confidence interval Weibull distribution Expectation–maximization algorithm Likelihood principle Statistics Estimation theory Maximum likelihood
85	Parameter Estimation Statistical NLP ! Maximum likelihood estimates won’t get us very far 3516 wipe off the excess 1034 wipe off the dust Add to Reading List Source URL: www.cs.nyu.edu Language: English - Date: 2013-09-05 23:50:29 Statistical classification Bayesian statistics Computational linguistics Natural language processing Language model N-gram Naive Bayes classifier Linear classifier Principle of maximum entropy Statistics Probability and statistics Statistical natural language processing
86	PDF Document Add to Reading List Source URL: www.ma.utexas.edu Language: English - Date: 2008-12-10 22:19:39 Likelihood principle Statistical power Statistical inference Measurement Statistics Estimation theory Statistical theory
87	PDF Document Add to Reading List Source URL: www.utstat.utoronto.ca Language: English - Date: 2014-02-10 21:28:28 Statistical theory Philosophy of science Estimation theory Likelihood principle Conditionality principle Bayesian inference A priori Prior probability Likelihood function Statistics Bayesian statistics Statistical inference
88	Guidance for Industry and FDA Staff Guidance for the Use of Bayesian Statistics in Medical Device Clinical Trials Document issued on: February 5, 2010 Add to Reading List Source URL: www.fda.gov Language: English Statistical theory Estimation theory Monte Carlo software Bayesian probability Bayesian inference Frequentist inference Interval estimation Likelihood principle OpenBUGS Statistics Bayesian statistics Statistical inference
89	Guidance for Industry and FDA Staff Guidance for the Use of Bayesian Statistics in Medical Device Clinical Trials Document issued on: February 5, 2010 Add to Reading List Source URL: www.fda.gov Language: English Statistical theory Estimation theory Monte Carlo software Bayesian probability Bayesian inference Frequentist inference Interval estimation Likelihood principle OpenBUGS Statistics Bayesian statistics Statistical inference
90	Counterexamples to a Likelihood Theory of Evidence Final Corrections, August 30, 2006. Forthcoming in Minds and Machines. MALCOLM R. FORSTER1 Department of Philosophy, University of Wisconsin-Madison, 5185 Helen C. White Add to Reading List Source URL: philosophy.wisc.edu Language: English - Date: 2011-09-15 11:56:57 Statistical theory Likelihood function Likelihood principle Maximum likelihood Sufficient statistic Bayesian network Posterior probability Normal distribution Bayes factor Statistics Estimation theory Bayesian statistics

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