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Stochastic models
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421	CHAPTER SIX. Concluding Comments. In this thesis, we have considered various Markov chains, and in particular their rates of convergence. Many of the results presented suggest possible generalizations and directions for Add to Reading List Source URL: probability.ca Language: English - Date: 2006-10-04 21:23:36 Markov processes Stochastic processes Markov chain Random walk Gibbs sampling Shuffling Markov chain Monte Carlo Statistics Probability and statistics Markov models
422	Embedded Probabilistic Programming Chung-chieh Shan Rutgers University Add to Reading List Source URL: okmij.org Language: English - Date: 2008-12-04 22:50:38 Importance sampling Variance reduction OCaml Inference Probability Continuation Stochastic process Stochastic Statistics Statistical models Reasoning
423	Uniqueness of Markov equilibrium in stochastic OLG models with nonclassical production by Marten Hillebrand Add to Reading List Source URL: econpapers.wiwi.kit.edu Language: English - Date: 2012-11-27 09:36:36
424	INTERVIEWS ISBA Bulletin, 18(1), March 2011 INTERVIEWS Add to Reading List Source URL: probability.ca Language: English - Date: 2011-10-06 08:38:00 Computational statistics Markov chain Monte Carlo Markov chain Statistical models Stochastic process Statistics Markov models Monte Carlo methods
425	Discussion of Taking DSGE models to the policy environment by Alvarez-Lois, Harrison, Piscitelli and Scott Central Bank Workshop on Macroeconomic Modelling 2006 Add to Reading List Source URL: www.bcentral.cl Language: English - Date: 2006-10-13 12:37:56 Dynamic stochastic general equilibrium Macroeconomic model Economic model Scientific modelling Policy analysis Macroeconomics New Keynesian economics New classical macroeconomics
426	Note: a conjectured compactification of some finite reversible MCs There are two established theories which concern different aspects of the behavior of finite state Markov chains as the size of the state space increases Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2012-09-05 17:28:51 Markov models Stochastic processes Probability theory Markov chain Statistical models Detailed balance Random walk Continuous-time Markov process Independent and identically distributed random variables Statistics Markov processes Probability and statistics
427	Signal Processing – 1130 www.elsevier.com/locate/sigpro Symbolic dynamic analysis of complex systems for anomaly detection Add to Reading List Source URL: www.mne.psu.edu Language: English - Date: 2008-08-22 12:28:34 Markov processes Dynamical systems Combinatorics on words Symbolic dynamics Markov chain Hidden Markov model Finite-state machine Stochastic matrix Stochastic process Statistics Markov models Probability and statistics
428	Estimation of extreme events from spatial rainfall data Ana Ferreira1,4 , Rita M. Cardoso2 , Pedro M.M. Soares2 and Margarida Belo-Pereira3 1 ISA, Univ Tecn Lisboa and CEAUL, Portugal 2 Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:21 Probability theory Estimation theory Statistical models Extreme value theory Normal distribution Estimator Climate Variance Stochastic process Statistics Statistical inference Statistical theory
429	From Baby Steps to Leapfrog: How “Less is More” in Unsupervised Dependency Parsing∗ Valentin I. Spitkovsky Stanford University and Google Inc. Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2010-05-07 02:56:48 Linguistics Machine learning Computational neuroscience Corpus linguistics Markov models Artificial neural network Unsupervised learning Part-of-speech tagging Stochastic context-free grammar Science Computational linguistics Natural language processing
430	Microsoft Word - A Day in the Life of an RAD Student - Ina BABE .docx Add to Reading List Source URL: www.rad.org.uk Language: English - Date: 2013-12-17 10:04:22 Decision theory Mathematical optimization Markov processes Markov models Operations research Markov chain Stochastic Decision making Decision analysis Statistics Knowledge Science

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