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Markov chain
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#	Item
201	A Bounded Rationality Account of Wishful Thinking Rebecca Neumann () Cognitive Science Program, University of California, Berkeley, CAUSA Anna N. Rafferty () Computer Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2014-05-03 19:16:09 Cognitive biases Markov processes Operations research Simulation Optimism bias Wishful thinking Markov chain Partially observable Markov decision process Optimism The Matrix
202	Inverse problems, parameter model reduction, Markov chain Monte Carlo Add to Reading List Source URL: kiwi.mit.edu Language: English
203	1 Discrete-time Markov Chains Let {Xk } be a discrete-time stochastic process which takes on values in a countable set S, called the state space. {Xk } is called a Discrete-time Markov chain (or simply a Markov chain, w Add to Reading List Source URL: www.ifp.illinois.edu Language: English - Date: 2009-05-02 23:30:28
204	ENUMERATING CONTINGENCY TABLES VIA RANDOM PERMANENTS Alexander Barvinok March 2006 Abstract. Given m positive integers R = (ri ), n positive integers C = (cj ) such Add to Reading List Source URL: www.math.lsa.umich.edu Language: English - Date: 2006-03-07 12:57:11 Matrix theory Linear algebra Markov models Algebra Graph theory Markov chain Matrix Permanent
205	Markov Chain Monte Carlo and Variational Inference: Bridging the Gap Tim Salimans Algoritmica TIM @ ALGORITMICA . NL Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-09-16 19:38:47 Statistics Statistical theory Probability Markov models Computational statistics Bayesian statistics Monte Carlo methods Monte Carlo software Variational Bayesian methods Bayesian network Markov chain Gibbs sampling
206	Empirical Evidence for Markov Chain Monte Carlo in Memory Search David D. Bourgin () Joshua T. Abbott () Thomas L. Griffiths (tom ) Department of Psyc Add to Reading List Source URL: cocosci.berkeley.edu Language: English - Date: 2014-05-03 19:23:30 Semantics Monte Carlo methods Markov models Computational statistics Mental processes Semantic memory MetropolisHastings algorithm Markov chain Monte Carlo Recall Markov chain Artificial neural network Latent semantic analysis
207	The Dynamics of Distributions in Continuous-Time Stochastic Models (a) Christian Bayer(a) and Klaus Wälde(b) WeierstraßInstitute Berlin and (b) Johannes-Gutenberg University Mainz1 Add to Reading List Source URL: www.waelde.com Language: English - Date: 2015-11-27 06:04:16 Stochastic processes Markov chain FokkerPlanck equation Markov process Markov kernel Probability distribution Brownian motion It diffusion Bellman equation
208	Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees Joseph E. Gonzalez Carnegie Mellon University Add to Reading List Source URL: select.cs.cmu.edu Language: English Graphical models Markov models Probability theory Ergodic theory Stochastic processes Gibbs sampling Markov chain Ergodicity Hidden Markov model Mixing Graph coloring Markov random field
209	Generative probabilistic models extend the scope of inferential structure determination Add to Reading List Source URL: people.binf.ku.dk Language: English - Date: 2012-01-24 06:25:17 Statistics Statistical theory Protein methods Protein structure Bioinformatics Markov chain Monte Carlo Gibbs sampling Root-mean-square deviation Monte Carlo method Bayesian inference Structure validation Global optimization
210	MCMC and the Label Switching Problem in Bayesian Mixture Modelling 1 Markov Chain Monte Carlo Methods and the Label Switching Problem in Bayesian Mixture Modelling Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2005-01-27 04:22:50