Hierarchical Bayes model

Results: 85



#Item
21Hierarchical Bayes model / Log-normal distribution / Regression analysis / Parameter / Maximum likelihood / Conjugate prior / Statistics / Bayesian statistics / Gumbel distribution

ARTICLE IN PRESS Journal of Hydrology xxx[removed]xxx–xxx Contents lists available at ScienceDirect Journal of Hydrology

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Source URL: water.columbia.edu

Language: English - Date: 2011-11-29 14:02:28
22Econometrics / Actuarial science / Linear regression / Bayesian linear regression / Regularization / Hierarchical Bayes model / Gibbs sampling / Statistics / Regression analysis / Bayesian statistics

egu_logo_without_circle_grey

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Source URL: water.columbia.edu

Language: English - Date: 2014-05-08 11:29:46
23P-value / Prior probability / Hierarchical Bayes model / Statistical power / Bayesian probability / Bayes factor / Statistics / Bayesian statistics / Bayesian inference

An open letter to Editors of journals, Chairs of departments, Directors of funding programs, Directors of graduate training, Reviewers of grants and manuscripts, Researchers, Teachers, and Students: Statistical methods h

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Source URL: www.indiana.edu

Language: English - Date: 2010-11-14 22:29:29
24Prior probability / Bayesian inference / Conjugate prior / Hierarchical Bayes model / Bayesian statistics / Statistics / Probability and statistics

Wrong Priors Carlos C. Rodríguez http://omega.albany.edu:8008/ Department of Mathematics and Statistics The University at Albany, SUNY Albany, NY 12222

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Source URL: omega.albany.edu

Language: English - Date: 2007-09-02 12:45:50
25Machine learning / Model selection / Cluster analysis / Mixture model / Prior probability / Latent Dirichlet allocation / Hierarchical Bayes model / Gibbs sampling / Cross-validation / Statistics / Probability / Bayesian statistics

Hierarchical Bayesian Models for Latent Attribute Detection in Social Media Delip Raoa Michael Paula Clay Finkb David Yarowskya Timothy Oatesc,a Glen Coppersmitha a Human Language Technology Center of Excellence, Johns H

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Source URL: www.cs.jhu.edu

Language: English - Date: 2011-04-08 08:59:42
26Gibbs sampling / Markov chain Monte Carlo / Bayesian inference / Layers / Hierarchical Bayes model / Pattern recognition / Statistics / Bayesian statistics / Machine learning

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 35, NO. 8, AUGUST 2013

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Source URL: www.cs.columbia.edu

Language: English - Date: 2015-03-12 00:16:21
27Bayesian inference / Beta-binomial distribution / Markov chain / Prior probability / Empirical Bayes method / Bayes factor / Hierarchical Bayes model / Statistics / Bayesian statistics / Conjugate prior

Journal of Machine Learning Research[removed]3176 Submitted 1/12; Revised 5/12; Published[removed]Bayesian Mixed-Effects Inference on Classification Performance in Hierarchical Data Sets

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Source URL: www.ong-home.my

Language: English - Date: 2013-12-12 02:50:01
28Hierarchical Bayes model / Latent variable / Prior probability / Structural equation modeling / Graphical model / Gibbs sampling / Strong prior / Markov chain Monte Carlo / Bayesian network / Statistics / Bayesian statistics / Bayesian inference

Bayesian Structural Equation Models: A Health Application

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Source URL: www.mssanz.org.au

Language: English - Date: 2013-01-15 18:54:47
29Bayesian inference / Beta-binomial distribution / Markov chain / Prior probability / Empirical Bayes method / Bayes factor / Hierarchical Bayes model / Statistics / Bayesian statistics / Conjugate prior

Journal of Machine Learning Research[removed]3176 Submitted 1/12; Revised 5/12; Published[removed]Bayesian Mixed-Effects Inference on Classification Performance in Hierarchical Data Sets

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Source URL: www.jmlr.org

Language: English - Date: 2012-11-13 18:50:28
30Bayesian network / Environmental flow / Hierarchical Bayes model / Bayesian inference / Ecology / Prior probability / Parameter / Bayesian statistics / Statistics / Probability and statistics

20th International Congress on Modelling and Simulation, Adelaide, Australia, 1–6 December 2013 www.mssanz.org.au/modsim2013 Using Bayesian hierarchical models to measure and predict the effectiveness of environmental

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Source URL: www.mssanz.org.au

Language: English - Date: 2013-11-19 22:01:35
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