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Continuous-time Markov chain
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51	Journal of Machine Learning Research[removed]3232 Submitted 9/12; Revised 7/13; Published[removed]Fast MCMC Sampling for Markov Jump Processes and Extensions Vinayak Rao∗ Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2013-11-10 18:21:30 Markov chain Continuous-time Markov process Poisson process Uniformization Hidden Markov model Markov property Gibbs sampling Stochastic process Stochastic matrix Statistics Markov processes Markov models
52	Multi-state modelling with R: the msm package Version[removed]June, 2014 Christopher Jackson MRC Biostatistics Unit Cambridge, U.K. Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-08 13:18:03 Hidden Markov model Proportional hazards models Markov chain Continuous-time Markov process Survival analysis Markov property Statistics Markov models Markov processes
53	Package ‘msm’ July 8, 2014 Version 1.4 Date 2014-07-04 Title Multi-state Markov and hidden Markov models in continuous time Author Christopher Jackson Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-08 13:18:03 Statistical inference Vascular surgery Markov processes Markov chain Bootstrapping Matrix Aortic aneurysm Aneurysm Abdominal aortic aneurysm Statistics Markov models Information
54	Package ‘PhaseType’ July 2, 2014 Title Inference for Phase-type Distributions Description Functions to perform Bayesian inference on absorption time data for Phase-type distributions. Plans to expand this to include Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 10:12:29 Monte Carlo methods Markov processes Computational statistics Markov chain Continuous-time Markov process Phase-type distribution Bayesian inference Hyperparameter Metropolis–Hastings algorithm Statistics Bayesian statistics Markov models
55	Queueing Syst DOI[removed]s11134[removed]Factorized time-dependent distributions for certain multiclass queueing networks and an application to enzymatic processing networks Add to Reading List Source URL: biodynamics.ucsd.edu Language: English - Date: 2013-10-11 13:34:12 Markov processes Markov models Queueing model Birth–death process Continuous-time Markov process Product form solution Markov chain BCMP network Statistics Queueing theory Stochastic processes
56	3172 Biophysical Journal Volume 99 Add to Reading List Source URL: biodynamics.ucsd.edu Language: English - Date: 2013-10-11 13:34:14 Markov models Stochastic processes Queueing model G factor Continuous-time Markov process Birth–death process Markov chain Cross-correlation Gene regulatory network Statistics Markov processes Queueing theory
57	WC41-4: Scheduling Algorithms for Downlink Services in Wireless Networks: A Markov Decision Process Approach Add to Reading List Source URL: www.princeton.edu Language: English - Date: 2006-04-03 11:07:43 Stochastic processes Queueing theory Operations research Markov decision process Queueing model Markov chain Continuous-time Markov process Scheduling Optimal control Statistics Markov processes Markov models
58	Finite-time Regional Verification of Stochastic Nonlinear Systems Jacob Steinhardt Department of Mathematics Massachusetts Institute of Technology Cambridge, Massachusetts[removed]Email: [removed] Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2012-09-02 10:48:22 Martingale Markov chain Optional stopping theorem Continuous function Wiener process Stochastic differential equation Itō diffusion Harris chain Statistics Stochastic processes Martingale theory
59	Hidden Markov Models • Generative, rather than descriptive model. – Objects produced by random process. • Dependencies in process, some random events influence others. Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2009-04-08 09:40:03 Probability and statistics Dynamic programming Bioinformatics Hidden Markov model Markov chain Forward–backward algorithm Continuous-time Markov process Markov models Statistics Markov processes
60	Statistics of transitions for Markov chains with periodic forcing.∗ S. Herrmann and D. Landon Institut de Mathématiques de Bourgogne UMR CNRS 5584, Université de Bourgogne, Add to Reading List Source URL: math.u-bourgogne.fr Language: English - Date: 2013-04-04 08:15:11 Markov chain Continuous-time Markov process Perturbation theory Stochastic matrix Mathematical analysis Mathematics Measurement Markov processes Markov models Stochastic processes