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Markov chain Monte Carlo
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#	Item
141	Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation David Wingate Andreas Stuhlmüller Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2011-06-30 04:29:48 Monte Carlo methods Statistical models Importance sampling Variance reduction Stochastic process Markov chain Monte Carlo Mixture model Markov chain Kalman filter Statistics Probability and statistics Markov models
142	Stochastic Superoptimization Eric Schkufza Rahul Sharma Alex Aiken Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2013-01-20 12:06:36 X86-64 Low-level programming language GNU Compiler Collection Markov chain Monte Carlo C Segmentation fault Strength reduction MOV Program optimization Computing Software X86 architecture
143	Part A Simulation and Statistical Programming HT 2015 Problem Sheet 3 due Week 7 Tuesday 10am 1. (a) Give a Metropolis-Hastings algorithm to sample according to the Gamma probability density function, p(x) ∝ xα−1 ex Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2015-02-23 13:52:48 Computational statistics Probability and statistics Markov models Markov processes Metropolis–Hastings algorithm Markov chain Gibbs sampling Itō diffusion Bayesian inference in phylogeny Statistics Monte Carlo methods Markov chain Monte Carlo
144	Stochastic Optimization of Floating-Point Programs with Tunable Precision Eric Schkufza Rahul Sharma Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2014-03-20 01:19:50 Mathematics X86 instruction listings Floating point Unit in the last place Lookup table Rounding Error function Markov chain Monte Carlo Mathematical optimization Statistics Computer arithmetic Computing
145	Probabilistic Inference Using Markov Chain Monte Carlo Methods Radford M. Neal Technical Report CRG-TR-93-1 Department of Computer Science University of Toronto Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:19 Markov models Monte Carlo methods Markov chain Monte Carlo Statistical models Gibbs sampling Bayesian inference Bayesian network Bayesian probability Probabilistic logic Statistics Probability and statistics Bayesian statistics
146	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
147	A∗ Sampling Chris J. Maddison Dept. of Computer Science University of Toronto Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2015-01-26 10:22:24 Monte Carlo methods Slice sampling Poisson processes Gumbel distribution Gibbs sampling Exponential distribution Estimation theory Order statistic Rejection sampling Statistics Markov chain Monte Carlo Non-uniform random numbers
148	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
149	When are probabilistic programs probably computationally tractable? Cameron E. Freer Univ. of Hawai‘i at M¯anoa Add to Reading List Source URL: web.mit.edu Language: English - Date: 2011-01-31 01:40:47 Monte Carlo methods Computational statistics Statistical models Markov chain Monte Carlo Bayesian inference Gibbs sampling Normal distribution Posterior probability Kullback–Leibler divergence Statistics Bayesian statistics Statistical theory
150	Bayesian hierarchical methods for sea turtle mixed stock analysis Add to Reading List Source URL: www.soest.hawaii.edu Language: English - Date: 2004-01-05 20:32:18 Computational statistics Data analysis Population genetics Haplotype Markov chain Monte Carlo Estimation theory Bootstrapping Sea turtle Bayesian inference Statistics Statistical inference Bayesian statistics