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Bayesian networks
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#	Item
471	Package ‘sna’ October 27, 2001 Version 0.4 Date 2001-10-27 Title Tools for Social Network Analysis Author Carter T. Butts Add to Reading List Source URL: erzuli.ss.uci.edu Language: English - Date: 2001-10-28 20:12:56 Networks Bayesian inference Markov models Prior probability Network theory Markov chain Bayes factor Probability distribution Centrality Statistics Bayesian statistics Probability and statistics
472	A framework for inferring predictive distributions of rhino poaching events through causal modelling Hildegarde Koen∗† , JP de Villiers∗† , Gregor Pavlin§ , Alta de Waal‡ , Patrick de Oude§ , Franck Mignet§ Add to Reading List Source URL: researchspace.csir.co.za Language: English - Date: 2014-08-25 17:55:22 Information Scientific modeling Bayesian network Networks Bayesian probability Causal model Scientific modelling Sensitivity analysis Bayesian inference Statistics Science Bayesian statistics
473	Package ‘sna’ May 27, 2001 Version 0.3 Date 2001-05-25 Title Tools for Social Network Analysis Author Carter T. Butts Add to Reading List Source URL: erzuli.ss.uci.edu Language: English - Date: 2001-05-27 18:05:09 Networks Bayesian inference Markov models Prior probability Network theory Markov chain Bayes factor Centrality Probability distribution Statistics Bayesian statistics Probability and statistics
474	Learning Stochastic Feedforward Neural Networks Yichuan Tang Department of Computer Science University of Toronto Toronto, Ontario, Canada. Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-11-19 21:06:13 Machine learning Estimation theory Statistical theory Expectation–maximization algorithm Bayesian network Gibbs sampling Perceptron Kullback–Leibler divergence Mixture model Statistics Statistical models Neural networks
475	The Lumiere Project: Bayesian User Modeling for Inferring the Goals and Needs of Software Users Eric Horvitz, Jack Breese, David Heckerman, David Hovel, Koos Rommelse Microsoft Research Redmond, WA[removed]fhorvitz,b Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2005-11-11 05:22:18 Statistical models Statistical theory Bayesian network Networks Bayesian inference Inference Graphical model User modeling Usability Statistics Bayesian statistics Logic
476	Black Box Variational Inference Rajesh Ranganath Sean Gerrish David M. Blei Princeton University, 35 Olden St., Princeton, NJ 08540 Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2014-03-17 12:44:23 Bayesian networks Variational Bayesian methods Variational message passing Operations research Gibbs sampling Normal distribution Mathematical optimization Score Stochastic optimization Statistics Estimation theory Bayesian statistics
477	Package ‘sna’ October 8, 2003 Version 0.43 Date 2003-10-08 Title Tools for Social Network Analysis Author Carter T. Butts Add to Reading List Source URL: erzuli.ss.uci.edu Language: English - Date: 2003-10-09 03:18:51 Networks Bayesian inference Markov models Prior probability Network theory Markov chain Bayes factor Probability distribution Centrality Statistics Bayesian statistics Probability and statistics
478	Learning Linear Bayesian Networks with Latent Variables Animashree Anandkumar Department of EECS, University of California, Irvine [removed] Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2014-11-25 10:45:20 Graphical models Bayesian statistics Networks Bayesian network Directed acyclic graph Mixture model Latent variable Expectation–maximization algorithm Independent component analysis Statistics Statistical models Estimation theory
479	A Spectral Algorithm for Latent Dirichlet Allocation Anima Anandkumar University of California Irvine, CA [removed] Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2014-11-25 10:45:21 Statistical models Bayesian networks Latent Dirichlet allocation Natural language processing Expectation–maximization algorithm Hidden Markov model Mixture model Dirichlet distribution Topic model Statistics Machine learning Statistical natural language processing
480	Building Probabilistic Graphical Models with Python Kiran R Karkera Chapter No. 2 Add to Reading List Source URL: cdn.oreillystatic.com Language: English - Date: 2014-06-30 09:55:58 Graph theory Statistical models Probability and statistics Networks Probability theory Bayesian network Markov random field Belief propagation Directed acyclic graph Statistics Graphical models Bayesian statistics

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