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Markov chain
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#	Item
161	A Statistical Model for Event Sequence Data Kevin Heins Department of Statistics University of California, Irvine Add to Reading List Source URL: contecenter.uci.edu Language: English - Date: 2014-08-06 21:12:14 Statistical models Stochastic processes Poisson processes Probability theory Probability distributions Markov chain Exponential distribution Renewal theory Mixture model Sequence alignment
162	PHYSICAL REVIEW E 93, Efficient community detection of network flows for varying Markov times and bipartite networks Masoumeh Kheirkhahzadeh,1,2 Andrea Lancichinetti,2 and Martin Rosvall2,* 1 Add to Reading List Source URL: www.mapequation.org Language: English - Date: 2016-03-19 03:43:10 Stochastic processes Markov processes Markov models Probability theory Network theory Markov chain Modularity Ergodicity Random walk
163	Studies in Nonlinear Dynamics & Econometrics Volume , Issue   Add to Reading List Source URL: johnstachurski.net Language: English - Date: 2016-06-19 06:01:40 Markov models Stochastic processes Probability theory Competition Decision theory Path dependence Markov chain Attractor Normal distribution Ergodicity
164	Journal of Wildlife Management 75(1):36–45; 2011; DOI: jwmg.15 Research Article Ecological and Methodological Factors Affecting Detectability and Population Add to Reading List Source URL: toddlab.ucdavis.edu Language: English - Date: 2011-08-09 13:33:53 Environmental statistics Survey methodology Epidemiology Mark and recapture Sampling Statistics Probability distribution Markov chain Transect
165	DETECTION AND MODELING OF TRANSIENT AUDIO SIGNALS WITH PRIOR INFORMATION a dissertation submitted to the department of electrical engineering and the committee on graduate studies Add to Reading List Source URL: www.mp3-tech.org Language: English - Date: 2009-06-28 10:58:08 Digital signal processing Audio engineering Acoustics Auditory perception Onset Synthesizers Audio time-scale/pitch modification Image segmentation Transient Transcription Pitch detection algorithm Markov chain
166	HIERATIC – Hierarchical Analysis of Complex Dynamical Systems WP6 – Formal theoretical results concerning network dynamics John Haslegrave, Chris Cannings The University of Sheffield Add to Reading List Source URL: www.hieratic.eu Language: English Game theory Statistical mechanics Granularity Graining Strategy Markov chain
167	Identification of weak lumpability in Markov chains General criteria for weak lumpability found, and the structure of the corresponding projection operator is derived Martin Nilsson Jacobi Add to Reading List Source URL: www.hieratic.eu Language: English Matrix theory Markov processes Linear algebra Eigenvalues and eigenvectors Singular value decomposition Markov chain Invariant
168	c 2012 Society for Industrial and Applied Mathematics SIAM J. OPTIM. Vol. 22, No. 4, pp. 1549–1578 Add to Reading List Source URL: stanford.edu Language: English - Date: 2014-09-05 13:16:58 Generalized functions Stochastic optimization Mathematical optimization Ergodic theory Mixing Stochastic approximation Markov chain Distribution Subgradient method Central limit theorem
169	Error Analysis of Background Adaption Xiang Gao, T.E. Boult EECS Department Lehigh Univ. [xig3 \| tboult]@eecs.lehigh.edu Add to Reading List Source URL: www.vast.uccs.edu Language: English - Date: 2005-11-27 17:27:09 Statistical models Machine learning Image processing Statistical theory Image segmentation Mixture model Background subtraction Receiver operating characteristic Expectationmaximization algorithm Markov chain Mathematical model Thresholding
170	Model diagnostics in multi-state models of biological systems A dissertation submitted to the University of Cambridge Department of Pure Mathematics and Mathematical Statistics for the degree of Doctor of Philosophy Add to Reading List Source URL: www.maths.lancs.ac.uk Language: English - Date: 2009-03-25 12:42:52 Markov models Markov chain Markov property Monte Carlo method Phase-type distribution