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Markov chain Monte Carlo
Results: 380

#	Item
131	Multiple Imputation of Missing Values in Economic Surveys: Comparison of Competing Algorithms Masayoshi Takahashi* National Statistics Center, Tokyo, Japan Takayuki Ito National Statistics Center, Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:38:58 Markov models Computational statistics Imputation Monte Carlo methods Markov chain Monte Carlo Expectation–maximization algorithm Markov chain Bootstrapping SPSS Statistics Data analysis Missing data
132	mcqmc2012-program-book.pdf Add to Reading List Source URL: www.mcqmc2012.unsw.edu.au Language: English - Date: 2012-02-07 19:21:40 Monte Carlo methods Bayesian statistics Numerical analysis Markov models Computational statistics Markov chain Monte Carlo Importance sampling Approximate Bayesian computation Bayesian inference Statistics Probability and statistics Mathematics
133	IN MEMORIAM On August 30, Georg Neumann died. One of the last of the great audio pioneers and inventors, he would have been 78 years old in October. He is survived by his widow Elly; a son, Dr. Add to Reading List Source URL: www.aes.org Language: English - Date: 2007-02-26 14:39:47 Statistical inference Computational statistics Markov models Bayesian statistics Estimation theory Markov chain Monte Carlo Mixture model Bayesian inference Particle filter Statistics Probability and statistics Monte Carlo methods
134	Bayesian Analysis and Computational Methods for Dynamic Modeling Add to Reading List Source URL: niemiconsulting.com Language: English - Date: 2011-08-09 11:47:34 Statistical inference Computational statistics Markov models Bayesian statistics Estimation theory Markov chain Monte Carlo Mixture model Bayesian inference Particle filter Statistics Probability and statistics Monte Carlo methods
135	Computer Science “Professor Zhou’s book is a comprehensive introduction to ensemble methods in machine learning. It reviews the latest research in this exciting area. I learned a lot reading it!” —Thomas G. Diet Add to Reading List Source URL: www.islab.ntua.gr Language: English - Date: 2015-02-05 08:23:09 Pattern recognition Supervised learning Semi-supervised learning Neural network Data mining Random forest Computational learning theory Ensemble learning Markov chain Monte Carlo Machine learning Artificial intelligence Learning
136	c 2008 International Press COMMUNICATIONS IN INFORMATION AND SYSTEMS Vol. 8, No. 3, pp, 2008 Add to Reading List Source URL: www.ims.cuhk.edu.hk Language: English - Date: 2009-02-19 09:02:38 Monte Carlo methods Statistical theory Markov models Mathematical optimization Normal distribution Markov chain Kullback–Leibler divergence Stochastic process Stochastic approximation Statistics Stochastic optimization Operations research
137	Japanese Monetary Policy Reaction Function and Time-Varying Structural Vector Autoregressions: A Monte Carlo Particle Filtering Approach ∗ Koiti Yano† Naoyuki Yoshino‡ Add to Reading List Source URL: www.fsa.go.jp Language: English - Date: 2008-02-14 02:11:11 Control theory Robot control Econometrics Time series analysis Kalman filter State observer Vector autoregression Markov chain Time series Statistics Probability and statistics Markov models
138	Work in progress – please don’t cite without authors’ permission Bayesian Estimation of Input-Output Tables for Russia Oleg Lugovoy a,b† Add to Reading List Source URL: www.iioa.org Language: English - Date: 2012-04-30 17:43:30 Statistical inference Statistical theory Estimation theory Markov models Point estimation Bayesian inference Principle of maximum entropy Prior probability Markov chain Monte Carlo Statistics Bayesian statistics Probability and statistics
139	Gentry Brochure.pub Add to Reading List Source URL: probability.ca Language: English - Date: 2007-02-05 09:34:27 Jeffrey S. Rosenthal Probability and statistics Markov chain Monte Carlo Markov chain Jeffrey Algorithm Statistics Markov models Monte Carlo methods
140	Microsoft Word - JulianBesagSymposiumAbstracts.doc Add to Reading List Source URL: sustain.bris.ac.uk Language: English - Date: 2011-03-31 09:12:58 Julian Besag Markov processes Spatial data analysis Markov chain Monte Carlo Random field Markov chain Spatial analysis Stochastic Risk factors for breast cancer Statistics Markov models Fellows of the Royal Society

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