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Bayesian information criterion
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#	Item
81	The evolution of Australian towns - Report 136 Add to Reading List Source URL: www.bitre.gov.au Language: English - Date: 2014-04-29 03:07:38 Robust regression Linear regression Outlier Ordinary least squares Errors and residuals in statistics Least squares Iteratively reweighted least squares Bayesian information criterion Structural equation modeling Statistics Regression analysis Akaike information criterion
82	Lecture 3 problems 1. Consider the fit of a model to some data with ν = 30 degrees of freedom. If the minimum χ2 of the fit is (a[removed]and (b) 52.1, what is the probability (p-value) of obtaining these values of χ2 o Add to Reading List Source URL: astronomy.swin.edu.au Language: English - Date: 2012-08-19 20:34:35 Categorical data Akaike information criterion Goodness of fit Parameter Normal distribution Bayesian information criterion Structural equation modeling Statistics Model selection Regression analysis
83	The evolution of Australian towns - Report 136 Add to Reading List Source URL: www.bitre.gov.au Language: English - Date: 2014-04-29 03:07:38 Robust regression Linear regression Outlier Ordinary least squares Errors and residuals in statistics Least squares Iteratively reweighted least squares Bayesian information criterion Structural equation modeling Statistics Regression analysis Akaike information criterion
84	137 Subject Index Bayesian Information Criterion (BIC), 26 dimensionless, 25, 41, 121, 125 Add to Reading List Source URL: thesis.library.caltech.edu Language: English - Date: 2012-12-25 21:41:11 Partial differential equations Turbulence models Turbulence Large eddy simulation Navier–Stokes equations Filter Eigenvalues and eigenvectors Vorticity Stokes equation Physics Algebra Fluid dynamics
85	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: ita.ucsd.edu Language: English - Date: 2008-01-04 13:52:34 Maximum likelihood Fisher information Bayesian network Minimum description length Likelihood function Bayesian information criterion Naive Bayes classifier Markov chain Statistics Estimation theory Bayesian statistics
86	Variable selection and updating in model-based discriminant analysis for high dimensional data with food authenticity applications Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2010-06-07 17:10:14 Regression analysis Model selection Statistical classification Linear discriminant analysis Bayesian information criterion Feature selection Discriminant Principal component analysis Random forest Statistics Multivariate statistics Econometrics
87	BNT Structure Learning Package : Documentation and Experiments Philippe Leray, Olivier Francois TECHNICAL REPORT Laboratoire PSI - INSA Rouen- FRE CNRS 2645 Add to Reading List Source URL: eprints.pascal-network.org Language: English - Date: 2004-11-15 07:58:24 Graphical models Networks Bayesian network Directed acyclic graph Statistical classification Naive Bayes classifier Akaike information criterion Statistics Bayesian statistics Statistical models
88	Performance of Bayesian Model Selection Criteria for Gaussian Mixture Models 1 Russell J. Steele McGill University Adrian E. Raftery Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2009-09-18 15:00:15 Statistical theory Model selection Bayesian inference Akaike information criterion Conjugate prior Variational Bayesian methods Mixture model Normal distribution Maximum likelihood Statistics Bayesian statistics Estimation theory
89	1 Optimal Dynamic Graphs for Video Content Analysis Tao Xiang and Shaogang Gong Department of Computer Science Add to Reading List Source URL: www.bmva.org Language: English - Date: 2012-02-07 08:52:01 Bayesian inference Estimation theory Statistical models Akaike information criterion Hidden Markov model Bayesian information criterion Maximum likelihood Speech recognition Expectation–maximization algorithm Statistics Model selection Markov models
90	JOURNAL OF APPLIED ECONOMETRICS J. Appl. Econ. 26: 30– [removed]Published online 11 August 2009 in Wiley Online Library (wileyonlinelibrary.com) DOI: [removed]jae[removed]DEFAULT PRIORS AND PREDICTIVE PERFORMANCE IN Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2011-05-24 20:39:54 Bayes factor Bayesian inference Conjugate prior Akaike information criterion Linear regression Hyperparameter Statistics Bayesian statistics Prior probability

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