Bayesian probability

Results: 1640



#Item
501Probability and statistics / Bayesian statistics / Statistical models / OCaml / Bayesian network / PP / Importance sampling / Probability / Inference / Statistics / Logic / Theoretical computer science

Embedded Probabilistic Programming? Oleg Kiselyov1 and Chung-chieh Shan2 1 2

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Source URL: okmij.org

Language: English - Date: 2009-03-22 23:26:33
502Estimation theory / Markov models / Probability theory / Variational Bayesian methods / Mixture model / Normal distribution / Marginal likelihood / Deviance information criterion / Gaussian process / Statistics / Probability and statistics / Bayesian statistics

J. R. Statist. Soc. B, Part 2, pp. 319–392 Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations

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Source URL: www.math.ntnu.no

Language: English - Date: 2011-12-21 15:18:36
503Probability and statistics / Exponentials / Bayesian statistics / Estimation theory / Statistical theory / Conjugate prior / Gamma distribution / Conway–Maxwell–Poisson distribution / Exponential distribution / Statistics / Poisson processes / Mathematical analysis

Unconditional Distributions Obtained from Conditional Specification Models with Applications in Risk Theory E. G´ omez-D´ eniza and E. Calder´ın–Ojedab

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Source URL: fbe.unimelb.edu.au

Language: English - Date: 2013-08-05 02:06:33
504Knowledge / Game theory / Statistical inference / Utility / Social philosophy / Kenneth Binmore / Bayesian probability / Decision theory / Bayesian inference / Statistics / Bayesian statistics / Science

Rationality and its Discontents Herbert Gintis October 5, 2009 Ken Binmore needs no introduction to readers of T HE E CONOMIC J OURNAL. In R ATIONAL D ECISIONS , this mathematician turned economist turned philosopher co

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Source URL: www.umass.edu

Language: English - Date: 2009-10-05 08:16:01
505Probability and statistics / Machine learning / Conditional random field / Theoretical computer science / Markov chain / Hidden Markov model / Bayesian network / Statistics / Markov models / Graphical models

Conditional Random Fields with High-Order Features for Sequence Labeling Dan Wu Hai Leong Chieu Nan Ye

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Source URL: www.comp.nus.edu.sg

Language: English - Date: 2010-03-02 00:50:27
506M-estimators / Bayesian statistics / Maximum likelihood / Likelihood function / Statistical models / Expectation–maximization algorithm / Statistics / Estimation theory / Statistical theory

An Introduction to Probability Models for Marketing Research Peter S. Fader University of Pennsylvania Bruce G. S. Hardie

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Source URL: www.brucehardie.com

Language: English - Date: 2013-07-16 16:45:35
507Probability interpretations / Bayesian probability / Expected value / Event / Probability space / Negative probability / Probability theory / Probability / Statistics

CCST9017 Hidden Order in Daily Life: A Mathematical Perspective Lecture 8

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Source URL: hkumath.hku.hk

Language: English - Date: 2014-11-18 19:28:55
508Bayesian statistics / Predicate logic / Philosophy of mathematics / Non-classical logic / Probabilistic logic / Bayesian probability / Markov logic network / Probability interpretations / First-order logic / Logic / Mathematics / Mathematical logic

1 Logic-based Formalisms for Statistical Relational Learning James Cussens Department of Computer Science & York Centre for Complex Systems Analysis

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Source URL: www.cs.york.ac.uk

Language: English - Date: 2006-09-08 09:58:34
509Graphical models / Statistical models / Markov models / Networks / Bayesian network / Hidden Markov model / Markov chain / Bayesian inference / Markov random field / Statistics / Bayesian statistics / Probability and statistics

EXTENDING INFERENCE IN CONTINUOUS TIME BAYESIAN NETWORKS by Liessman Eric Sturlaugson A dissertation proposal submitted in partial fulfillment

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Source URL: www.cs.montana.edu

Language: English - Date: 2014-10-27 15:50:51
510Probability and statistics / Bayesian network / Networks / Probabilistic relational model / Economic model / Aggregate / Macroeconomic model / Philosophical logic / Bayesian statistics / Statistics / Statistical models

Incremental recognition of multi-object behaviour using hierarchical probabilistic models Frank-Michael ZIMMER and Bernd NEUMANN Department of Informatics, University of Hamburg

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Source URL: kogs-www.informatik.uni-hamburg.de

Language: English - Date: 2010-08-31 13:28:12
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