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Bayesian information criterion
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41	Copyright © 2008 by the author(s). Published here under license by the Resilience Alliance. Aalders, IModeling land-use decision behavior with Bayesian belief networks. Ecology and Society 13(1): 16. [online] UR Add to Reading List Source URL: www.norsys.com Language: English - Date: 2014-03-12 20:15:56 Statistical models Model selection Bayesian network Economic model Bayesian inference Akaike information criterion Prior probability Statistics Bayesian statistics Information
42	Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties Jianqing Fan and Runze Li Variable selection is fundamenta l to high-dimensiona l statistical modeling, including nonparametri c regression Add to Reading List Source URL: www.personal.psu.edu Language: English - Date: 2003-04-03 16:20:55 Statistical theory Econometrics Parametric statistics Linear regression Maximum likelihood Least squares Ordinary least squares Bayesian information criterion Bias of an estimator Statistics Regression analysis Estimation theory
43	Inferring the Number of Component Spectra in Multiplexed SERRS M. Zhong, M. Girolami, K. Faulds, & D.Graham * Inference Group, Department of Computing Science, University of Glasgow, http://www.dcs.gla.ac.uk/infere Add to Reading List Source URL: www.dcs.gla.ac.uk Language: English - Date: 2009-01-27 07:16:33 Bayesian statistics Bayesian information criterion Marginal likelihood Markov chain Spectrum Bayes factor Normal distribution Statistics Bayesian inference Model selection
44	Stock assessment of short-lived invertebrates using hierarchical Bayesian models Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-16 21:22:25 Stock assessment Hierarchical Bayes model Prior probability Bayesian inference Hyperparameter Maximum sustainable yield Bycatch Hyperprior Statistics Bayesian statistics Deviance information criterion
45	CHAPTER 6. MODEL AND MODEL SUMMARY OUTPUT CHAPTER 6. MODEL AND MODEL SUMMARY OUTPUT Following estimation of a model, various output file listings and graphical displays are produced. The specific output produced is con Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2009-05-18 08:48:12 Estimation theory Akaike information criterion Psychometrics Expectation–maximization algorithm Bootstrapping Structural equation modeling Bayesian information criterion Statistics Statistical inference Model selection
46	How reliable is my reliability model? Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-16 21:21:38 Survival analysis Bayesian inference Model selection Statistical models Weibull distribution Deviance information criterion Mixture model Bayesian information criterion Reliability engineering Statistics Probability and statistics Bayesian statistics
47	PDF Document Add to Reading List Source URL: astrostatistics.psu.edu Language: English - Date: 2011-11-10 10:36:41 Model selection Regression analysis Econometrics Akaike information criterion Bayesian information criterion Maximum likelihood Bootstrapping Likelihood-ratio test Linear regression Statistics Estimation theory Statistical theory
48	PDF Document Add to Reading List Source URL: www.dcs.gla.ac.uk Language: English - Date: 2008-01-06 05:55:51 Bioinformatics Computational linguistics Markov models Hidden Markov model Machine learning Speech recognition Akaike information criterion HMM Bayesian information criterion Statistics Probability and statistics Model selection
49	Epidemiological data analysis in forest research Sabine Braun1) and Christian Schindler2) 1)Institute for Applied Plant Biology, Schönenbuch, Switzerland 2) Swiss TPH, University of Basel, Switzerland Add to Reading List Source URL: icpvegetation.ceh.ac.uk Language: English - Date: 2014-11-13 07:37:26 Statistical methods Multivariate statistics Psychometrics Akaike information criterion Bayesian information criterion Regression analysis Data analysis Schönenbuch Factor analysis Statistics Model selection Econometrics
50	Review of Three Latent Class Cluster Analysis Packages: Latent GOLD, poLCA, and MCLUST Dominique HAUGHTON, Pascal LEGRAND, and Sam WOOLFORD McCutcheonBecause LCA is based upon a statistical model, maximum likeli Add to Reading List Source URL: statisticalinnovations.com Language: English - Date: 2009-03-11 13:58:29 Categorical data Multivariate statistics Latent class model Psychometrics Expectation–maximization algorithm Bayesian information criterion K-means clustering Computer cluster Mixture model Statistics Cluster analysis Machine learning

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