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Markov models
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#	Item
831	Journal of Artificial Intelligence Research637 Submitted 02/14; publishedProbabilistic Inference in Credal Networks: New Complexity Results Add to Reading List Source URL: www.jair.org Language: English - Date: 2014-07-28 01:14:54 Probability theory Bayesian inference Credal set Statistical models Bayesian network Hidden Markov model Naive Bayes classifier Joint probability distribution Independence Statistics Bayesian statistics Probability and statistics
832	Journal of Artificial Intelligence Research591 Submitted 11/08; publishedOptimal Value of Information in Graphical Models Andreas Krause Add to Reading List Source URL: www.jair.org Language: English - Date: 2011-09-06 21:29:44 Bayesian statistics Statistical models Markov processes Graphical models Hidden Markov model Dynamic programming Bayesian network Static single assignment form Algorithm Statistics Mathematics Markov models
833	Foundations of Graphical Models David M. Blei Columbia University October 14, 2014 Description and Prerequisites Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:19 Machine learning Bayesian statistics Regression analysis Hidden Markov model Gibbs sampling Markov chain Graphical model Mixture model Pattern recognition Statistics Statistical models Markov models
834	Learning Stochastic OT Grammars: A Bayesian approach using Data Augmentation and Gibbs Sampling Ying Lin∗ Department of Linguistics University of California, Los Angeles Los Angeles, CA 90095 Add to Reading List Source URL: dingo.sbs.arizona.edu Language: English - Date: 2005-05-03 02:03:46 Markov chain Monte Carlo Markov models Estimation theory Gibbs sampling Normal distribution Maximum likelihood Optimality theory Sampling distribution Random variable Statistics Statistical theory Probability and statistics
835	Evaluating Monetary Policy When Nominal Interest Rates are Almost Zero Ippei Fujiwara∗† Research and Statistics Department, Bank of JapanNihonbashi-Hongokucho, Chuo-ku, Tokyo, JAPAN March 2004 Add to Reading List Source URL: core.ac.uk Language: English - Date: 2012-10-06 18:45:15 Markov models Monetary policy Control theory Markov chain Vector autoregression Impulse response Inflation Instrumental variable Expansionary monetary policy Statistics Economics Econometrics
836	Journal of Artificial Intelligence Research591 Submitted 11/08; publishedOptimal Value of Information in Graphical Models Andreas Krause Add to Reading List Source URL: www.jair.org Language: English - Date: 2011-09-06 21:32:01 Bayesian statistics Statistical models Markov processes Graphical models Hidden Markov model Dynamic programming Bayesian network Static single assignment form Algorithm Statistics Mathematics Markov models
837	Summary of Stochastic Processes Kui Tang May 2013 Based on Lawler’s Introduction to Stochastic Processes, second edition, and course slides from Prof. Hongzhong Zhang. Add to Reading List Source URL: kui-tang.com Language: English Markov models Martingale theory Stochastic calculus Markov chain Markov property Itō calculus Martingale Continuous-time Markov process Wiener process Statistics Stochastic processes Markov processes
838	Modelling Heterogeneous Location Habits in Human Populations for Location Prediction Under Data Sparsity James McInerney1 , Jiangchuan Zheng2 , Alex Rogers1 , Nicholas R. Jennings1 1 University of Southampton, Southampt Add to Reading List Source URL: eprints.soton.ac.uk Language: English - Date: 2013-07-16 10:28:50 Markov models Spatial data analysis Machine learning Collaborative filtering Social information processing Recommender system Hidden Markov model Mixture model Indicators of spatial association Statistics Probability and statistics Collective intelligence
839	CURRICULUM VITAE Jeffrey S. Rosenthal (Last updated April 16, BIOGRAPHICAL INFORMATION: Personal: Add to Reading List Source URL: probability.ca Language: English - Date: 2015-04-16 10:11:05 Stochastic processes Markov chain Monte Carlo Markov processes Jeffrey S. Rosenthal Markov chain Metropolis–Hastings algorithm Random walk Stochastic Gibbs sampling Statistics Markov models Monte Carlo methods
840	Learning Periodic Human Behaviour Models from Sparse Data for Crowdsourcing Aid Delivery in Developing Countries James McInerney, Alex Rogers, Nicholas R. Jennings University of Southampton, Southampton, SO17 1BJ, UK {je Add to Reading List Source URL: eprints.soton.ac.uk Language: English - Date: 2013-05-29 06:01:01 Network theory Shortest path problem Markov decision process Canadian traveller problem Theoretical computer science Mathematics Statistics

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