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Markov chain
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41	STATIONARY TANGENT: THE DISCRETE AND NON-SMOOTH CASE U. KEICH Abstract. In [5] we deﬁne a stationary tangent process, or a locally optimal stationary approximation, to a real non-stationary smooth Gaussian process. Thi Add to Reading List Source URL: www.maths.usyd.edu.au Language: English - Date: 2002-12-09 16:28:18 Mathematical analysis Probability Stochastic processes Stochastic differential equations Markov models Signal processing Stationary process Derivative Spectrum Normal distribution OrnsteinUhlenbeck process Markov chain
42	Introduction Continuous State Space Models Case Study in Web Services Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2005-09-27 05:37:25 Probability theory Markov models Markov processes Probability Engineering Stochastic processes Process calculi PEPA Jane Hillston Markov chain Queueing theory Laboratory for Foundations of Computer Science
43	LNAIContinuous Time Bayesian Networks for Host Level Network Intrusion Detection Add to Reading List Source URL: rlair.cs.ucr.edu Language: English - Date: 2011-01-19 19:25:43 Statistics Probability Statistical theory Markov models Statistical models Graphical models Estimation theory Bayesian network Networks Markov chain Normal distribution Expectationmaximization algorithm
44	A STATISTICAL MODEL FOR PREDICTING PRONUNCIATION Florian Schiel Bavarian Archive of Speech Signals, Munich ABSTRACT Add to Reading List Source URL: www.phonetik.uni-muenchen.de Language: English - Date: 2015-08-18 05:11:02 Markov models Artificial intelligence Probability Learning Phonetic transcription Speech recognition Markov chain Image segmentation Hidden Markov model Viterbi algorithm Phonotactics
45	A Blend of Markov-Chain and Drift Analysis Jens Jägersküpper⋆ Technische Universität Dortmund, Informatik 2, 44221 Dortmund, Germany Abstract In their seminal article [Theo. Comp. Sci):51–82] Droste, Jan Add to Reading List Source URL: ls2-www.cs.uni-dortmund.de Language: English - Date: 2008-09-22 04:30:04 Mathematical analysis Mathematics Inverse trigonometric functions Ratios Trigonometry Information theory Argument principle
46	Introduction Markovian Foundations Applications Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2009-03-30 16:35:02 Markov processes Process calculi Markov models PEPA Markov chain Jane Hillston Markovian Process calculus Theoretical computer science Mathematics Discrete mathematics TAPAs model checker
47	Slice sampling in Bayesian estimation of DSGE models Add to Reading List Source URL: www.macfinrobods.eu Language: English - Date: 2015-06-30 02:32:38 Statistical theory Statistics Bayesian statistics Estimation theory Slice sampling Likelihood function Markov chain Monte Carlo Bayes estimator
48	Seeking Ergodicity in Dynamic Economies 1 Takashi Kamihigashia and John Stachurskib a Research Add to Reading List Source URL: johnstachurski.net Language: English - Date: 2016-06-24 09:25:50 Mathematical analysis Probability theory Mathematics Stochastic processes Ergodic theory Markov chain Mixing Ergodicity Law of large numbers Pi Asymptotic equipartition property Convergence of random variables
49	Microsoft PowerPoint - 第4章-进化树.pptx Add to Reading List Source URL: bioinfo.ict.ac.cn Language: English Markov models Bioinformatics Computational phylogenetics Models of DNA evolution Phylogenetics Biology Markov chain Mathematical analysis
50	Norwegian University of Science and Technology, Trondheim (NTNU) Institute of Informatics Add to Reading List Source URL: www.ipiran.ru Language: English - Date: 2014-06-10 06:26:32 Mathematical analysis Statistics Mathematics Graph theory Markov chain Probability distributions Stochastic process Heat equation Central limit theorem

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