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Likelihood function
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51	Perturb-and-MAP Random Fields: Using Discrete Optimization to Learn and Sample from Energy Models – ICCV 2011 paper supplementary material – George Papandreou and Alan Yuille Department of Statistics, University of C Add to Reading List Source URL: www.stat.ucla.edu Language: English - Date: 2011-10-20 23:22:53 Statistical theory Sufficient statistic Likelihood function Confidence interval Completeness
52	Christiano FINC 520, Spring 2008 Homework 7, due Monday, JuneObtain Angus Maddison’s (http://www.ggdc.net/maddison/) annual data on per capita output in India covering the period, 1884 tothe data are in a Add to Reading List Source URL: faculty.wcas.northwestern.edu Language: English - Date: 2008-05-29 16:26:38 Estimation theory Mode Likelihood function
53	NIPS 2010 Workshop on Deep Learning and Unsupervised Feature Learning, Whistler, Canada, DecemberInvestigating Convergence of Restricted Boltzmann Machine Learning Hannes Schulz Add to Reading List Source URL: amueller.github.io Language: English - Date: 2016-08-04 15:59:56 Artificial neural networks Machine learning Computational neuroscience Estimation theory Statistical theory Restricted Boltzmann machine Deep learning Boltzmann machine Feature learning Deep belief network MNIST database Likelihood function
54	Fast inference in generalized linear models via expected log-likelihoods Alexandro D. Ramirez 1,, Liam Paninski 2 1 Weill Cornell Medical College, NY. NY, U.S.A Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2013-06-06 11:45:10 Estimation theory Statistical theory Maximum likelihood estimation Bias of an estimator Completeness Poisson regression Linear regression Exponential family Likelihood function Estimator Mean squared error Law of large numbers
55	Documentation Migrate VersionPeter Beerli Add to Reading List Source URL: popgen.sc.fsu.edu Language: English - Date: 2013-12-16 15:28:21 Bayesian statistics Estimation theory Statistical theory Statistical inference Marginal likelihood Probability theory Coalescent theory Likelihood function Bayesian inference Maximum likelihood estimation Bayes factor
56	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
57	Dynare Working Papers Series http://www.dynare.org/wp/ Indirect Likelihood Inference Michael Creel Add to Reading List Source URL: www.dynare.org Language: English - Date: 2011-07-11 10:23:40 Estimation theory Statistical theory Estimator Maximum likelihood estimation Bias of an estimator M-estimator Extremum estimator Generalized method of moments Bayes estimator Efficiency Asymptotic theory Loss function
58	A Variational Analysis of Stochastic Gradient Algorithms Stephan Mandt , Matthew D. Hoffman , David M. Blei 1 2 Add to Reading List Source URL: www.stephanmandt.com Language: English - Date: 2016-06-23 13:49:43 Estimation theory Statistical theory Econometrics M-estimators Stochastic processes Loss function OrnsteinUhlenbeck process Stochastic gradient descent Likelihood function
59	Inference, Models and Simulation for Complex Systems Lecture 3 Prof. Aaron Clauset 1 Add to Reading List Source URL: tuvalu.santafe.edu Language: English - Date: 2011-09-22 11:32:56 Probability distributions Exponentials Infinitely divisible probability distributions Statistical models Actuarial science Exponential distribution Power law Maximum likelihood estimation Cumulative distribution function KolmogorovSmirnov test Heavy-tailed distribution
60	Discrete mixtures of GEV models Stephane Hess, Imperial College London & RAND Europe Michel Bierlaire, EPFL John W. Polak, Imperial College London Conference paper STRC 2005 Add to Reading List Source URL: www.idep.eco.usi.ch Language: English - Date: 2012-01-04 14:50:59 Statistical models Regression analysis Choice modelling Discrete choice Mode choice Mixed logit Probability distribution Multinomial logistic regression Logistic regression Likelihood function Mixture model Gibbs sampling