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Hierarchical Bayes model
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71	PDF Document Add to Reading List Source URL: www.stat.missouri.edu Language: English - Date: 2011-06-24 10:57:39 Wind Tornado Fujita scale Thomas P. Grazulis Hierarchical Bayes model Meteorology Atmospheric sciences Weather
72	CSAS SCCS Canadian Science Advisory Secretariat Add to Reading List Source URL: publications.gc.ca Language: English - Date: 2013-10-28 14:26:30 Mark and recapture Striped bass OpenBUGS Statistics Moronidae Hierarchical Bayes model
73	WORKING PAPER SERIES NO[removed]november 2012 Prior Selection for Vector Autoregressions Domenico Giannone, Michele Lenza Add to Reading List Source URL: www.ecb.europa.eu Language: English - Date: 2012-11-16 11:11:49 Hyperprior Empirical Bayes method Hierarchical Bayes model Hyperparameter Prior probability Bayesian inference Bayesian VAR Marginal likelihood Likelihood function Bayesian statistics Statistics Conjugate prior
74	Christopher K. Wikle Department of Statistics University of Missouri 146 Middlebush, Columbia, MO[removed]Office Phone: ([removed]Home Phone: ([removed]E-mail: [removed] Add to Reading List Source URL: www.stat.missouri.edu Language: English - Date: 2013-12-11 08:07:46 Bayesian statistics Hierarchical Bayes model Spatial data analysis
75	ISEC Workshop Hierarchical Models with BUGS Add to Reading List Source URL: isec2014.sciencesconf.org Language: English - Date: 2014-02-28 06:44:27 Monte Carlo software Graphical models Statistical theory Hierarchical Bayes model OpenBUGS WinBUGS Bayesian inference Just another Gibbs sampler Bayesian probability Statistics Bayesian statistics Science
76	Working Paper, draft 5, February 2012 pi-football: A Bayesian network model for forecasting Association Football match outcomes ANTHONY C. CONSTANTINOU , NORMAN E. FENTON AND MARTIN NEIL Risk Assessment and Decision Ana Add to Reading List Source URL: www.eecs.qmul.ac.uk Language: English* - Date: 2012-02-25 17:22:42 Bayesian probability Forecasting Hierarchical Bayes model Bayesian inference Statistics Bayesian statistics Bayesian network
77	Bayesian Cognitive Modeling: A Practical Course MICHAEL D. LEE AND ERIC-JAN WAGENMAKERS Contents Add to Reading List Source URL: webfiles.uci.edu Language: English - Date: 2013-11-15 14:05:20 Graphical models Bayes factor Bayesian inference Model selection Hierarchical Bayes model Cognitive science Mixture model Statistics Bayesian statistics Statistical models
78	A Hierarchical Bayesian Markovian Model for Motifs in Biopolymer Sequences Eric P. Xing, Michael I. Jordan, Richard M. Karp and Stuart Russell Computer Science Division University of California, Berkeley Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2005-10-27 20:39:29 Bayesian statistics Probability Sequence motif Variational Bayesian methods Mixture model Multinomial distribution Dirichlet distribution Expectation–maximization algorithm Hierarchical Bayes model Statistics Bioinformatics Probability and statistics
79	3(3)_11 focus_Griffiths.indd Add to Reading List Source URL: web.mit.edu Language: English - Date: 2006-08-29 22:29:57 Statistical theory Hypothesis testing Psychometrics Bayesian inference Prior probability Statistical hypothesis testing Likelihood function Decision theory Hierarchical Bayes model Statistics Bayesian statistics Statistical inference
80	Bayesian models of cognition Thomas L. Griffiths, Charles Kemp and Joshua B. Tenenbaum Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2008-12-18 19:25:08 Bayesian inference Maximum likelihood Statistical inference Hierarchical Bayes model Conjugate prior Prior probability Probability Likelihood function N-gram Statistics Bayesian statistics Bayesian probability

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