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Markov chain Monte Carlo
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171	An Improved Visible Normal Sampling Routine for the Beckmann Distribution Wenzel Jakob August 2, 2014 Recently, Heitz and D’Eonproposed a method for importance Add to Reading List Source URL: www.mitsuba-renderer.org Language: English - Date: 2014-08-02 10:11:58 Probability and statistics Gaussian function Error function Importance sampling Cumulative distribution function Random variate Markov chain Monte Carlo Mathematical analysis Monte Carlo methods Statistics
172	Approximate Counting and Markov Chain Monte Carlo A Randomized Approach Arindam Pal Department of Computer Science and Engineering Indian Institute of Technology Delhi Add to Reading List Source URL: www.cse.iitd.ernet.in Language: English - Date: 2011-04-08 01:08:14 Markov models Complexity classes Computational statistics Monte Carlo methods Approximation algorithms Markov chain Monte Carlo Markov chain Polynomial-time approximation scheme Random walk Statistics Theoretical computer science Computational complexity theory
173	Syst. Biol. 54(3):471–482, 2005 c Society of Systematic Biologists Copyright ISSN: print836X online DOI: Add to Reading List Source URL: www.zo.utexas.edu Language: English - Date: 2013-04-22 17:48:46 Phylogenetics Ensemble learning Phylogenetic tree Bootstrapping Multidimensional scaling Bootstrap aggregating Markov chain Monte Carlo Maximum parsimony Quantitative comparative linguistics Statistics Computational statistics Computational phylogenetics
174	Statement of Research Mohammad Arshad Rahman November 30, 2014 Research Area: Bayesian Econometrics, Econometrics. My research primarily focuses on Bayesian econometrics and simulation-based inference using Add to Reading List Source URL: www.iitk.ac.in Language: English - Date: 2014-12-01 16:25:07 Single equation methods Statistical models Computational statistics Monte Carlo methods Discrete choice Markov chain Monte Carlo Regression analysis Bayesian econometrics Probit Statistics Economics Econometrics
175	Weighting for the Guatemalan National Police Archive Sample: Unusual Challenges and Problems Gary Shapiro, Daniel Guzm´ an, Paul Zador, Tamy Guberek, Megan Price and Kristian Lum∗ Abstract This paper describes the wei Add to Reading List Source URL: hrdag.org Language: English - Date: 2013-03-03 14:33:14 Sampling Markov chain Monte Carlo Probability theory Lua Gibbs sampling Mean Variance Survey sampling Sample size determination Statistics Software Survey methodology
176	MCQMC2014 – April 6 – 11, 2014 – KU Leuven, Belgium Eleventh International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing The MCQMC Conference is a biennial meeting devoted to the Add to Reading List Source URL: mcqmc2014.cs.kuleuven.be Language: English - Date: 2013-07-30 04:16:28 Randomness Numerical analysis Quasi-Monte Carlo method Markov chain Monte Carlo Pseudorandomness Quasi-Monte Carlo methods in finance Monte Carlo methods Probability and statistics Applied mathematics
177	Sparse stochastic inference for latent Dirichlet allocation David Mimno [removed] Princeton U., Dept. of Computer Science, 35 Olden St., Princeton, NJ 08540, USA Matthew D. Hoffman Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:22 Bayesian statistics Latent Dirichlet allocation Expectation–maximization algorithm Variational Bayesian methods Gibbs sampling Dirichlet distribution Topic model Markov chain Monte Carlo Markov chain Statistics Statistical natural language processing Markov models
178	SVERIGES RIKSBANK WORKING PAPER SERIES 297 SPEEDING UP MCMC BY Add to Reading List Source URL: www.riksbank.se Language: English - Date: 2015-03-30 07:45:40 Statistical inference Bias Bias of an estimator Likelihood function Estimator Markov chain Monte Carlo Maximum likelihood Parametric model Statistics Estimation theory Statistical theory
179	Contents Part I Preliminaries 1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Add to Reading List Source URL: statistik.wu-wien.ac.at Language: English - Date: 2006-10-24 05:17:21 Randomness Markov chain Monte Carlo Probability distribution Monte Carlo method Markov chain Pseudo-random number sampling Normal distribution Statistics Probability and statistics Markov models
180	Walk, Not Wait: Faster Sampling Over Online Social Networks Azade Nazi‡ , Zhuojie Zhou†† , Saravanan Thirumuruganathan‡ , Nan Zhang†† , Gautam Das‡ ‡ ‡ Add to Reading List Source URL: www.vldb.org Language: English - Date: 2015-01-10 21:47:47 Statistical inference Non-uniform random numbers Markov chain Monte Carlo Random walk Rejection sampling Metropolis–Hastings algorithm Sample size determination Estimation theory Connectivity Statistics Monte Carlo methods Sampling

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