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Bayesian information criterion
Results: 181

#	Item
91	Bayesian Network Structure Learning using Factorized NML Universal Models Teemu Roos, Tomi Silander, Petri Kontkanen, and Petri Myllymäki Complex Systems Computation Group, Helsinki Institute for Information Technology Add to Reading List Source URL: eprints.pascal-network.org Language: English - Date: 2008-01-05 04:28:58 Maximum likelihood Fisher information Bayesian network Minimum description length Likelihood function Bayesian information criterion Naive Bayes classifier Markov chain Statistics Estimation theory Bayesian statistics
92	Hierarchical Bayesian Models and their Implementation in Multivariate Disease Mapping Modelli Bayesiani gerarchici per l’analisi multivariata della distribuzione geografica del rischio di malattia Sudipto Banerjee, Xia Add to Reading List Source URL: cab.unime.it Language: English - Date: 2010-04-13 05:39:24 Time series analysis Econometrics Deviance information criterion Autoregressive conditional heteroskedasticity Graphical model Statistics Bayesian statistics Statistical models
93	Ann Inst Stat Math[removed]:11–35 DOI[removed]s10463[removed]Latent class analysis variable selection Nema Dean · Adrian E. Raftery Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2010-06-07 17:10:09 Model selection Categorical data Regression analysis Expectation–maximization algorithm Latent class model Bayesian information criterion Mixture model Feature selection Maximum likelihood Statistics Statistical models Estimation theory
94	Statistical Science 1999, Vol. 14, No. 4, 382–417 Bayesian Model Averaging: A Tutorial Jennifer A. Hoeting, David Madigan, Adrian E. Raftery and Chris T. Volinsky Add to Reading List Source URL: www.iipl.fudan.edu.cn Language: English - Date: 2013-06-02 21:56:20 Bayesian inference Statistical models Model selection Bayes factor Generalized linear model Stepwise regression Logistic regression Bayesian information criterion Bayesian network Statistics Regression analysis Bayesian statistics
95	Application of latent class models to food product development: a case study Richard Popper1, Jeff Kroll1 and Jay Magidson2 1 Peryam & Kroll Research Corporation, 6323 N. Avondale Ave., Chicago, IL 60631, Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:54:10 Statistical methods Categorical data Estimation theory Linear regression Latent class model Bayesian information criterion Economic model Statistics Regression analysis Econometrics
96	Phylogenetic Analyses: A Toolbox Expanding towards Bayesian Methods Add to Reading List Source URL: dambe.bio.uottawa.ca Language: English - Date: 2008-05-04 22:28:11 Science Bioinformatics Phylogenetics Model selection Molecular evolution Substitution model Sequence alignment Bayes factor Akaike information criterion Statistics Computational phylogenetics Biology
97	UNIVERSITY OF OXFORD DEPARTMENT OF STATISTICS MSc AND DIPLOMA IN APPLIED STATISTICS Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2015-02-04 04:24:23 Model selection Regression analysis Statistical methods Statistical inference Linear regression Akaike information criterion Machine learning Bayesian inference Bayes factor Statistics Statistical theory Econometrics
98	Psychological Review 2009, Vol. 116, No. 4, 971–985 © 2009 American Psychological Association 0033-295X/09/$12.00 DOI: [removed]a0017050 Add to Reading List Source URL: www.vincenzocrupi.com Language: English - Date: 2013-03-08 17:28:16 Statistical theory Estimation theory Statistical inference Statistical hypothesis testing Likelihood function Statistical power Akaike information criterion Checking whether a coin is fair Bayesian inference Statistics Hypothesis testing Bayesian statistics
99	Chapter 3 BAYESIAN D-OPTIMAL DESIGNS §3.1 Motivation Optimal designs for impaired reproduction studies are typically listed in the form of effective Add to Reading List Source URL: scholar.lib.vt.edu Language: English - Date: 1998-11-04 14:05:09 Statistical theory Model selection Statistical methods Optimal design Fisher information Akaike information criterion Mathematical optimization Statistics Design of experiments Operations research
100	A Quantitative Comparison of Sticky-Price and Sticky-Information Models of Price Setting Add to Reading List Source URL: federalreserve.gov Language: English - Date: 2006-12-11 12:24:54 Inflation Vector autoregression Phillips curve Economic model Bayesian information criterion Parameter identification problem Maximum likelihood Structural estimation Sticky Statistics Economics Econometrics

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