Probability theory

Results: 5383



#Item
511Statistics / Statistical theory / Probability / Markov models / Computational statistics / Bayesian statistics / Monte Carlo methods / Monte Carlo software / Variational Bayesian methods / Bayesian network / Markov chain / Gibbs sampling

Markov Chain Monte Carlo and Variational Inference: Bridging the Gap Tim Salimans Algoritmica TIM @ ALGORITMICA . NL

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Source URL: jmlr.org

Language: English - Date: 2015-09-16 19:38:47
512Mathematical analysis / Statistics / Mathematics / Summary statistics / Probability distributions / Random walk / Central limit theorem / Law of large numbers / Large deviations theory / Ising model / Mode / Heat transfer physics

MATHEMATISCHES FORSCHUNGSINSTITUT OBERWOLFACH T a g u n g s b e r i c h t

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Source URL: www.fam.tuwien.ac.at

Language: English - Date: 2003-06-14 17:14:40
513Matrix / Probability / Mathematical analysis / Probability distributions / Stable distributions / Probability theory / Statistics

WHAT DOES A RANDOM CONTINGENCY TABLE LOOK LIKE? Alexander Barvinok November 2009 Abstract. Let R = (r1 , . . . , rm ) and C = (c1 , . . . , cn ) be positive integer vectors

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Source URL: www.math.lsa.umich.edu

Language: English - Date: 2009-11-25 09:10:05
514Automated theorem proving / Logic programming / Logic in computer science / Boolean algebra / Model theory / Substitution / Boolean satisfiability problem / Interpretation / Relationships among probability distributions / Lifting theory

THE COMPLEXITY OF SATISFACTION PROBLEMS IN REVERSE MATHEMATICS LUDOVIC PATEY Abstract. Satisfiability problems play a central role in computer science and engineering as a general framework for studying the complexity of

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Source URL: ludovicpatey.com

Language: English - Date: 2015-02-06 12:14:26
515Game theory / Bayesian statistics / Statistical inference / Statistical theory / Probability and statistics / Bayesian game / Bayesian inference / Posterior probability / Probability / Conditional independence / Common knowledge / Bayesian network

On Agreement and Learning∗ Elchanan Mossel†, Allan Sly‡and Omer Tamuz§ arXiv:1207.5895v1 [math.ST] 25 JulJuly 26, 2012

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Source URL: people.hss.caltech.edu

Language: English - Date: 2012-07-27 05:59:55
516Graphical models / Markov models / Probability theory / Ergodic theory / Stochastic processes / Gibbs sampling / Markov chain / Ergodicity / Hidden Markov model / Mixing / Graph coloring / Markov random field

Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees Joseph E. Gonzalez Carnegie Mellon University

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Source URL: select.cs.cmu.edu

Language: English
517Statistics / Statistical theory / Statistical inference / Information / Knowledge / Probability and statistics / Bayesian statistics / Behavioral finance / Information cascade / Informant / Probability / Bayesian inference

How do you know that? Sensitivity to statistical dependency in social learning Andrew Whalen () Daphna Buchsbaum () Thomas L. Griffiths (tom ) Department of Psyc

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Source URL: cocosci.berkeley.edu

Language: English - Date: 2013-05-02 18:42:13
518Statistics / Probability / Language modeling / Statistical natural language processing / Categorical data / Markov models / Statistical theory / N-gram / Language model / Additive smoothing / KneserNey smoothing / GoodTuring frequency estimation

An Empirical Study of Smoothing Techniques for Language Modeling Stanley F. Chen and Joshua Goodman TR-10-98

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Source URL: www.speech.sri.com

Language: English - Date: 2007-06-09 13:55:37
519

UK Easter Probability Meeting 4-9 April, 2016: LANCASTER UNIVERSITY ”STANDARD AND NON-STANDARD FILTRATIONS IN PROBABILITY THEORY, DYNAMICS AND ALGEBRAIC

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Source URL: www.lancaster.ac.uk

Language: English - Date: 2016-04-08 08:52:02
    520Mathematical analysis / Mathematics / Topology / Stochastic processes / Measure theory / Ergodic theory / Topological vector spaces / Compactification / Poisson boundary / Mixing / Measure-preserving dynamical system / Amenable group

    Generic Stationary Measures and Actions Lewis Bowen∗, Yair Hartman†and Omer Tamuz‡ August 14, 2015 Abstract Let G be a countably infinite group, and let µ be a generating probability measure

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    Source URL: people.hss.caltech.edu

    Language: English - Date: 2015-08-14 13:44:04
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