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Markov chain Monte Carlo
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11	PDF Document Add to Reading List Source URL: mcqmc2016.stanford.edu Language: English - Date: 2016-08-23 18:37:55 Monte Carlo methods Statistics Applied mathematics Probability Quasirandomness Quasi-Monte Carlo method Computational physics Sampling techniques Statistical mechanics Markov chain Monte Carlo Monte Carlo Monte
12	Quantum Approximate Markov Chains and the Locality of Entanglement Spectrum Fernando G.S.L. Brandão Caltech based on joint work with Add to Reading List Source URL: fernandobrandao.org Language: English - Date: 2016-06-29 05:08:58 Markov models Markov processes Mathematical analysis Spectral theory Monte Carlo methods Ordinary differential equations Mathematics Markov chain
13	A State-Space Model for National Football League Scores Mark E. GLICKMANand Hal S. STERN This articledevelopsa predictivemodel forNationalFootballLeague (NFL) game scoresusingdata fromtheperiodThe parameterso Add to Reading List Source URL: www.glicko.net Language: English - Date: 2014-01-31 20:50:46 Statistics Probability Mathematical analysis Probability distributions Gibbs sampling Markov chain Monte Carlo Kalman filter Regression analysis
14	Slice sampling in Bayesian estimation of DSGE models Add to Reading List Source URL: www.macfinrobods.eu Language: English - Date: 2015-06-30 02:32:38 Statistical theory Statistics Bayesian statistics Estimation theory Slice sampling Likelihood function Markov chain Monte Carlo Bayes estimator
15	Robust Entity Clustering via Phylogenetic Inference Nicholas Andrews and Jason Eisner and Mark Dredze Department of Computer Science and Human Language Technology Center of Excellence Johns Hopkins University 3400 N. Cha Add to Reading List Source URL: www.cs.jhu.edu Language: English - Date: 2014-05-16 20:46:24 Statistics Estimation theory Computational statistics Cluster analysis Gibbs sampling Markov chain Monte Carlo Expectationmaximization algorithm Consensus clustering Likelihood function Sampling
16	Network Analysis and Modeling, CSCI 5352 LectureProf. Aaron Clauset Add to Reading List Source URL: tuvalu.santafe.edu Language: English - Date: 2013-11-23 11:09:20 Statistics Statistical theory Monte Carlo methods Markov chain Monte Carlo Markov models Stochastic simulation Estimation theory MetropolisHastings algorithm Gibbs sampling Markov chain Maximum likelihood estimation Importance sampling
17	MrBayesPrimer (with a focus on model selection) Jeremy M. Brown Dept. of Biological Sciences Louisiana State University www.phyleauxgenetics.org Add to Reading List Source URL: treethinkers.org Language: English - Date: 2014-03-09 14:13:45 Statistics Statistical theory Probability Bayesian statistics Bioinformatics Computational phylogenetics Command shells Probability distributions Markov chain Monte Carlo Substitution model IBM i Control Language Command-line interface
18	Course Syllabus: COMPSCI 688 Probabilistic Graphical Models – Spring 2016 Instructor: Prof. Brendan O’Connor (http://brenocon.com) Add to Reading List Source URL: people.cs.umass.edu Language: English - Date: 2016-02-29 18:06:04 Statistics Education Applied mathematics Computational statistics Statistical models Graphical models Bayesian statistics Markov models Bayesian network Markov random field Educational technology Markov chain Monte Carlo
19	2014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP) INDEPENDENT DOUBLY ADAPTIVE REJECTION METROPOLIS SAMPLING Luca Martino? , Jesse Read† , David Luengo‡ ? Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2014-08-22 09:13:11 Statistics Monte Carlo methods Computational statistics Markov chain Monte Carlo Statistical theory Non-uniform random numbers Rejection sampling MetropolisHastings algorithm Stochastic simulation Gibbs sampling
20	Integrating Bottom-Up/Top-Down for Object Recognition by Data Driven Marko v Chain Monte Carlo Song-Chun Zhu, Rong Zhang, Add to Reading List Source URL: pages.ucsd.edu Language: English - Date: 2002-05-23 04:31:38 Statistics Monte Carlo methods Probability theory Probability Markov models Computational statistics Statistical mechanics Markov chain Monte Carlo Markov chain MetropolisHastings algorithm Bayesian network Brownian motion