Gibbs sampling

Results: 303



#Item
251Variational Bayesian methods / Bayesian inference / Mixture model / Gibbs sampling / Prior probability / Particle filter / Statistics / Bayesian statistics / Probability and statistics

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Source URL: arxiv.org

Language: English - Date: 2014-06-12 23:22:23
252Monte Carlo methods / Markov chain Monte Carlo / Markov processes / Gibbs sampling / Markov chain / Metropolis–Hastings algorithm / Bayesian inference / Markov property / Statistics / Markov models / Probability and statistics

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Source URL: www.stat.columbia.edu

Language: English - Date: 2006-12-21 09:57:48
253Statistical models / Actuarial science / Mathematical optimization / Linear regression / Gibbs sampling / Multilevel model / Least squares / Statistics / Regression analysis / Econometrics

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Source URL: www.stat.columbia.edu

Language: English - Date: 2006-12-21 09:57:33
254Sampling / Imputation / Missing data / Resampling / Variance / Bootstrapping / Gibbs sampling / Regression analysis / Statistics / Data analysis / Survey of Consumer Finances

DISCLOSURE REVIEW AND ITS IMPLICATIONS Revenue FOR THE 1992 SURVEY OF CONSUMER

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Source URL: www.federalreserve.gov

Language: English - Date: 2012-11-05 15:21:30
255Variables / Regression analysis / Missing data / Gibbs sampling / Imputation / Linear regression / Parameter / Normal distribution / Expected value / Statistics / Econometrics / Data analysis

Microsoft Word - Imputation of Missing Data in Waves 1 and 2 of SHARE - WP.docx

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Source URL: www.share-project.org

Language: English - Date: 2011-03-17 04:47:01
256Markov processes / Markov chain / Gibbs sampling / Regression analysis / Vector autoregression / Estimation theory / Hidden Markov model / Statistics / Markov models / Econometrics

How Well Do Markov Switching Models Describe Actual Business Cycles? The Case of Synchronization* Penelope A. Smith and Peter M. Summers Melbourne Institute of Applied Economic and Social Research The University of Melbo

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Source URL: www.melbourneinstitute.com

Language: English - Date: 2010-05-06 00:06:46
257Monte Carlo methods / Markov models / Statistical genetics / Markov chain / Gibbs sampling / Dirichlet process / Genetic algorithm / Population genetics / Mixture model / Statistics / Probability and statistics / Markov chain Monte Carlo

Sex as Gibbs Sampling: a probability model of evolution Chris Watkins ∗and Yvonne Buttkewitz † Department of Computer Science Royal Holloway, University of London Egham, Surrey TW20 0EX, UK

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Source URL: eprints.pascal-network.org

Language: English - Date: 2014-02-16 04:27:54
258Latent Dirichlet allocation / Markov models / Gibbs sampling / Variational Bayesian methods / Expectation–maximization algorithm / Gamma function / Markov chain / Object categorization from image search / Statistics / Statistical natural language processing / Markov chain Monte Carlo

Colloquium Finding scientific topics Thomas L. Griffiths*†‡ and Mark Steyvers§ *Department of Psychology, Stanford University, Stanford, CA 94305; †Department of Brain and Cognitive Sciences, Massachusetts Instit

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Source URL: psiexp.ss.uci.edu

Language: English - Date: 2004-10-11 11:58:17
259Markov processes / Markov chain / Gibbs sampling / Regression analysis / Vector autoregression / Estimation theory / Hidden Markov model / Statistics / Markov models / Econometrics

How Well Do Markov Switching Models Describe Actual Business Cycles? The Case of Synchronization* Penelope A. Smith and Peter M. Summers Melbourne Institute of Applied Economic and Social Research The University of Melbo

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Source URL: melbourneinstitute.com

Language: English - Date: 2010-05-06 00:06:46
260Bayesian statistics / Philosophy of science / Bayesian VAR / Vector autoregression / Causality / Regression analysis / Bayesian inference / Gibbs sampling / Marginal likelihood / Statistics / Econometrics / Time series analysis

Wo r k i n g Pa p e r S e r i e S NO[removed]o c t o b e r 2013 Granger-Causal-Priority and Choice of Variables in Vector Autoregressions

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Source URL: www.ecb.europa.eu

Language: English - Date: 2013-10-16 04:45:39
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