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Markov chain
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191	C:/Dokumente und Einstellungen/mundi/DesktopDiss BAK final complete DruckDiss BAK final complete Druck/00Thesis.dvi Add to Reading List Source URL: www.waelde.com Language: English - Date: 2013-09-04 06:04:48 Markov processes Probability theory Probability Markov models Mathematical analysis Stochastic processes Markov chain Markov renewal process Markov property Balance equation ChapmanKolmogorov equation Stochastic matrix
192	Stat 542 Homework 3 - Due Thursday, April 7th (12 pm) You are required to submit a hard copy pdf document in class with answers to the following questions. This document must be generated using the LaTeX typesetting lang Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2016-03-21 16:55:20 Statistics Statistical theory Probability Probability distributions Bayesian statistics Summary statistics Gibbs sampling Markov chain Monte Carlo Normal distribution Mode Prior probability
193	Bayesian Analysis, Number 4, pp. 631–652 Hierarchical Bayesian Modeling of Hitting Performance in Baseball Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2009-11-30 14:51:49 Statistics Probability Mathematical analysis Probability distributions Dirichlet distribution Mixture model Normal distribution Constructible universe Posterior predictive distribution Markov chain Relationships among probability distributions Beta distribution
194	JMLR: Workshop and Conference Proceedings vol 40:1–26, 2015 Sequential Information Maximization: When is Greedy Near-optimal? Yuxin Chen† S. Hamed Hassani† Amin Karbasi‡ Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-07-20 20:08:35 Differential forms Information theory Mutual information Markov chain Expected value Closed and exact differential forms
195	Linear levels through n-grams Steve Dahlskog Julian Togelius, Mark J. Nelson Computer Science Department Add to Reading List Source URL: www.kmjn.org Language: English - Date: 2016-06-17 09:59:01 Computational linguistics Markov models Platform games Natural language processing Corpus linguistics N-gram Procedural generation Markov chain Speech recognition Natural language generation Language model N
196	Learning to Predict Trajectories of Cooperatively Navigating Agents Henrik Kretzschmar Markus Kuderer Abstract— The problem of modeling the navigation behavior Add to Reading List Source URL: europa2.informatik.uni-freiburg.de Language: English - Date: 2014-10-22 05:09:39 Statistics Probability Statistical theory Markov models Bayesian statistics Information theory Probability distribution Principle of maximum entropy Reinforcement learning Entropy Markov chain Mode
197	A SCALED STOCHASTIC NEWTON ALGORITHM FOR MARKOV CHAIN MONTE CARLO SIMULATIONS TAN BUI-THANH † AND Add to Reading List Source URL: users.ices.utexas.edu Language: English - Date: 2012-08-23 17:22:26
198	ACCELERATING MCMC WITH ACTIVE SUBSPACES arXiv:1510.00024v1 [math.NA] 30 Sep 2015 PAUL G. CONSTANTINE∗ , CARSON KENT† , AND TAN BUI-THANH‡ Abstract. The Markov chain Monte Carlo (MCMC) method is the computational w Add to Reading List Source URL: users.ices.utexas.edu Language: English - Date: 2016-02-13 10:28:09
199	Supplementary materials for this article are available online. Please go to www.tandfonline.com/r/JASA Statistical Learning With Time Series Dependence: An Application to Scoring Sleep in Mice Blakeley B. MCSHANE, Shane Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2013-12-23 22:06:02 Markov models Probability Mathematical analysis Markov chain Sleep Memorylessness Rapid eye movement sleep Stochastic matrix Forwardbackward algorithm Joint probability distribution Non-rapid eye movement sleep Expected value
200	Parallel Markov Chain Monte Carlo for Pitman-Yor Mixture Models Avinava Dubey School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 Add to Reading List Source URL: sinead.github.io Language: English - Date: 2016-02-09 13:07:31