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Conjugate prior
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21	Variational Bounds for Mixed-Data Factor Analysis Mohammad Emtiyaz Khan University of British Columbia Vancouver, BC, Canada V6T 1Z4 Add to Reading List Source URL: people.cs.ubc.ca Language: English - Date: 2010-11-01 11:54:31 Bayesian statistics Expectation–maximization algorithm Missing data Statistical natural language processing Mixture model Latent variable model Conjugate prior Maximum likelihood Exponential family Statistics Statistical models Estimation theory
22	PHYSICAL REVIEW LETTERS PRL 100, week ending 27 JUNE 2008 Add to Reading List Source URL: www.jakehofman.com Language: English - Date: 2008-12-17 23:22:46 Mathematical analysis Network theory Algebraic graph theory Modularity Variational Bayesian methods Expectation–maximization algorithm D-module Module Conjugate prior Statistics Mathematics Bayesian statistics
23	Learning Continuous Time Bayesian Networks Uri Nodelman Stanford University Add to Reading List Source URL: robotics.stanford.edu Language: English - Date: 2005-05-18 16:00:10 Markov models Bayesian network Networks Markov chain Conjugate prior Gamma distribution Exponential family Bayesian inference Sufficient statistic Statistics Bayesian statistics Statistical theory
24	Infer.NET 101 A sample-based introduction to the basics of Microsoft Infer.NET programming Version 1.1 – SeptemberAbstract Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2014-10-27 09:26:54 Statistical theory Statistical inference Machine learning Normal distribution Probability distribution Mixture model Bayesian inference Conjugate prior Prior probability Statistics Probability and statistics Bayesian statistics
25	RESEARCH REPORT Serial No. 477 November 2010 INVERSION OF BAYES FORMULA AND MEASURES OF BAYESIAN INFORMATION GAIN AND PAIRWISE Add to Reading List Source URL: lx2.saas.hku.hk Language: English - Date: 2010-11-09 04:53:42 Bayesian statistics Fisher information Conjugate prior Kullback–Leibler divergence Likelihood function Maximum likelihood Parametric model Statistics Estimation theory Statistical theory
26	Monte Carlo Bayesian Reinforcement Learning Yi Wang WANGY @ COMP. NUS . EDU . SG Kok Sung Won KOKSUNG @ COMP. NUS . EDU . SG Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2012-05-24 21:17:28 Stochastic control Markov models Partially observable Markov decision process Bayesian statistics Reinforcement learning Markov decision process Conjugate prior Markov chain Q-learning Statistics Markov processes Dynamic programming
27	PDF Document Add to Reading List Source URL: www.cs.york.ac.uk Language: English - Date: 2006-09-08 10:04:07 Statistical models Philosophy of science Graphical models Bayesian inference Bayesian network Prior probability Principle of maximum entropy Statistical inference Conjugate prior Statistics Bayesian statistics Statistical theory
28	This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Cross-lingual Subspace Gaussian Mixture Models for Low-reso Add to Reading List Source URL: www.cstr.ed.ac.uk Language: English - Date: 2013-10-07 08:11:17 Markov models Regression analysis Automatic identification and data capture Speech recognition Hidden Markov model Mixture model Linear regression Maximum likelihood Conjugate prior Statistics Computational linguistics Estimation theory
29	Journal of Loss Prevention in the Process Industries, 25(3), ppMaydoi:j.jlpPrediction of occupational accident statistics and work time loss distributions using Bayesian analysis Ef Add to Reading List Source URL: ipta.demokritos.gr Language: English - Date: 2012-10-30 07:07:56 Poisson processes Conjugate prior Exponential distribution Normal distribution Bayesian inference Gamma distribution Parameter Sufficient statistic Empirical Bayes method Statistics Bayesian statistics Statistical theory
30	Exploring the Deep Sea and Beyond themed issue Estimation of submarine mass failure probability from a sequence of deposits with age dates Eric L. Geist1,, Jason D. Chaytor2, Tom Parsons1, and Uri ten Brink2 1 Add to Reading List Source URL: profile.usgs.gov Language: English* - Date: 2015-02-24 13:51:58 Estimation theory Survival analysis Exponentials Conjugate prior Maximum likelihood Probability distribution Poisson distribution Exponential distribution Likelihood function Statistics Bayesian statistics Poisson processes

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