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Likelihood function
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#	Item
541	Finance and Economics Discussion Series Divisions of Research & Statistics and Monetary Affairs Federal Reserve Board, Washington, D.C. Small Sample Properties of Bayesian Estimators of Labor Income Processes Add to Reading List Source URL: federalreserve.gov Language: English - Date: 2014-04-08 10:55:56 Maximum likelihood Estimator Point estimation Generalized method of moments Bayes estimator Linear regression Loss function Efficiency Median Statistics Estimation theory M-estimator
542	A Note on the Expectation-Maximization (EM) Algorithm ChengXiang Zhai Department of Computer Science University of Illinois at Urbana-Champaign November 2, 2004 Add to Reading List Source URL: www.cs.ust.hk Language: English - Date: 2006-03-11 03:50:39 Bayesian statistics Expectation–maximization algorithm Missing data Statistical models Maximum likelihood Likelihood function Mixture model Kullback–Leibler divergence Extremum estimator Statistics Estimation theory Statistical theory
543	A Composite Likelihood View for Multi-Label Classification Yi Zhang Jeff Schneider School of Computer Science, Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2013-02-04 21:37:18 Bayesian statistics Statistical theory Likelihood function Marginal likelihood Maximum likelihood Classifier chains Multi-label classification Kullback–Leibler divergence Statistical classification Statistics Estimation theory Machine learning
544	Mirex and Taily at TREC 2013 Robin Aly1 , Djoerd Hiemstra2 , Dolf Trieschnigg1 , Thomas Demeester3 1 Human Media Interaction Group University of Twente, 2 Database Group University of Twente, 3 Ghent University - iMinds Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2014-02-28 12:39:26 Ranking function Query likelihood model Search engine indexing Precision and recall N-gram Document retrieval Search engine Web search engine Discounted cumulative gain Information science Information retrieval Science
545	1032 A Bayesian hierarchical analysis of stock–recruit data: quantifying structural and parameter uncertainties Catherine G.J. Michielsens and Murdoch K. McAllister Add to Reading List Source URL: www.psc.org Language: English - Date: 2011-08-22 18:35:24 Deviance information criterion Normal distribution Prior probability Log-normal distribution Gamma distribution Bayesian inference Likelihood function Ricker model Statistics Bayesian statistics Probability and statistics
546	Efficient_sampling_infinite_site_model Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2013-08-26 08:49:52 Computational statistics Monte Carlo methods Markov chain Particle filter Likelihood function Coalescent theory Statistics Estimation theory Markov models
547	Model Selection in the Presence of Incidental Parameters∗ Yoonseok Lee† University of Michigan October[removed]Abstract Add to Reading List Source URL: www.albany.edu Language: English - Date: 2013-01-24 13:51:01 Statistical inference Statistical theory Bayesian inference Bayesian information criterion Maximum likelihood Akaike information criterion Likelihood function Fisher information Bayes factor Statistics Estimation theory Model selection
548	The glarma Package for Observation Driven Time Series Regression of Counts William T.M. Dunsmuir David J. Scott Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-09-25 02:06:02 Econometrics Parametric statistics Actuarial science Linear regression Likelihood function Autoregressive–moving-average model Maximum likelihood Generalized linear model T-statistic Statistics Estimation theory Regression analysis
549	Noname manuscript No. (will be inserted by the editor) Background Subtraction - Separating the Modeling and the Inference Manjunath Narayana · Allen Hanson · Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2013-10-13 21:03:15 Probability and statistics Computer graphics Pixel Segmentation Likelihood function Mixture model Image resolution Prior probability One-shot learning Image processing Statistics Bayesian statistics
550	Vol. 93, No. 1 March[removed]American Political Science Review A Statistical Model for Multiparty Electoral Data JONATHAN N. KATZ University of Add to Reading List Source URL: gking.harvard.edu Language: English - Date: 2013-02-04 23:37:27 Statistical theory Statistical models Actuarial science Incumbency advantage in the United States Logistic function Independent Maximum likelihood Dummy variable Swing Statistics Econometrics Regression analysis

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