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Gibbs sampling
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#	Item
161	Comparing Probabilistic Models for Melodic Sequences Athina Spiliopoulou and Amos Storkey School of Informatics, University of Edinburgh, United Kingdom {a.spiliopoulou,a.storkey}@ed.ac.uk Abstract. Modelling the real w Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2012-04-26 12:53:52 Hidden Markov model Boltzmann machine Generative model Graphical model N-gram Markov model Gibbs sampling Latent variable Statistics Statistical models Probability
162	Journal of Machine Learning Research[removed]1140 Submitted 10/09; Revised 1/10; Published 3/10 Continuous Time Bayesian Network Reasoning and Learning Engine Christian R. Shelton Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2010-03-09 15:22:27 Bayesian statistics Markov models Bayesian network Gibbs sampling Markov chain Expectation–maximization algorithm Machine learning Statistics Networks Graphical models
163	Bayesian Structural Equation Models: A Health Application Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-15 18:54:47 Hierarchical 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
164	From Fields to Trees Firas Hamze Nando de Freitas Add to Reading List Source URL: www.cs.ubc.ca Language: English - Date: 2005-06-05 23:33:23 Markov models Estimation theory Estimator Variance Gibbs sampling Markov random field Markov chain Statistics Statistical inference Probability theory
165	Heterogeneity and cross-country spillovers in macroeconomic-•nancial linkages Add to Reading List Source URL: www.bis.org Language: English - Date: 2012-03-20 12:08:00 Probability theory Algebra of random variables Time series analysis Vector autoregression Variance Gibbs sampling Covariance Normal Degrees of freedom Statistics Econometrics Multivariate statistics
166	Journal of Machine Learning Research[removed]2173 Submitted 2/10; Revised 8/10; Published 8/10 libDAI: A Free and Open Source C++ Library for Discrete Approximate Inference in Graphical Models Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2010-08-23 18:11:12 Mathematics Belief propagation Factor graph Bayesian network Markov random field Conditional random field Gibbs sampling Expectation–maximization algorithm Tree decomposition Graphical models Graph theory Statistics
167	Continuous Relaxations for Discrete Hamiltonian Monte Carlo Yichuan Zhang, Charles Sutton, Amos Storkey School of Informatics University of Edinburgh United Kingdom Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2013-05-06 05:06:36 Graphical models Probability theory Markov chain Monte Carlo Markov models Gibbs sampling Normal distribution Boltzmann machine Partition function Bayesian inference Statistics Probability and statistics Monte Carlo methods
168	Temporal Changes In Urban Stream Macroinvertebrate Assemblages: A Bayesian Hierarchical Approach To Analysing Sparse Monitoring Data Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-15 18:17:56 Econometrics Environmental science Covariance and correlation Autocorrelation Time series Gibbs sampling Linear regression Bioindicator Biotic index Statistics Water pollution Regression analysis
169	Composite Likelihood Data Augmentation for Within-Network Statistical Relational Learning Joseph J. Pfeiffer III Jennifer Neville Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2015-01-17 04:41:12 Statistical inference Econometrics Statistical theory Expectation–maximization algorithm Confidence interval Maximum likelihood Conjugate prior Gibbs sampling Variational Bayesian methods Statistics Bayesian statistics Estimation theory
170	Projecting Markov Random Field Parameters for Fast Mixing Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2014-11-07 00:39:15 Kullback–Leibler divergence Thermodynamics Divergence Markov chain Maximum likelihood Gibbs sampling Mean difference Expectation–maximization algorithm Statistics Statistical theory Estimation theory

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