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Stochastic process
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#	Item
581	Stochastic epidemic modelling and analysis: current perspective and future challenges Frank Ball (University of Nottingham) and Tom Britton (Stockholm University) Workshop on Disease Dynamics, Isaac Newton Institute for Add to Reading List Source URL: www.newton.ac.uk Language: English - Date: 2014-05-31 12:48:49 Statistical randomness Epidemic model Public health Stochastic Scientific modelling Point process Economic model Statistics Stochastic processes Epidemiology
582	On the Constancy of Internet Path Properties Yin Zhang Nick Duffield Vern Paxson Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2003-10-22 15:09:06 Horology Spacetime Time Poisson process Operational definition Throughput Statistics Measurement Stochastic processes
583	Information Retrieval Using Hierarchical Dirichlet Processes Phil Cowans Inference Group Department Of Physics University Of Cambridge Add to Reading List Source URL: www.inference.phy.cam.ac.uk Language: English - Date: 2004-10-26 09:07:19 Information retrieval Markov models Artificial intelligence applications Dirichlet process Dirichlet distribution Tf*idf Language model Concentration parameter Probability distribution Statistics Statistical natural language processing Stochastic processes
584	BOOK REVIEWS Hartmut MILBRODT, Manfred HELBIG (1999): Mathematische Methoden der Personenversicherung. de Gruyter. IBSN[removed]The book “Mathematische Methoden der Personenversicherung” by Hartmut Milbrodt and Add to Reading List Source URL: www.casact.org Language: English - Date: 2012-04-11 20:49:32 Markov processes Probability theory Actuarial science Poisson distribution Cox process Queueing theory Renewal theory Probability distribution Point process Statistics Stochastic processes Poisson processes
585	0.1. MARKOV CHAINS[removed] Add to Reading List Source URL: www.stanford.edu Language: English - Date: 2003-07-02 19:56:42 Markov chain Random walk Stochastic matrix Markov property Semi-Markov process Hidden Markov model Statistics Markov models Markov processes
586	Continuous Time Bayesian Networks Uri Nodelman Stanford University [removed] Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2005-05-18 16:00:10 Statistical models Graphical models Networks Markov chain Bayesian network Stochastic process Stochastic matrix Hidden Markov model Continuous-time Markov process Statistics Markov models Markov processes
587	On derivations and solutions of master equations and asymptotic representations Add to Reading List Source URL: www.physik.uni-augsburg.de Language: English - Date: 2006-07-07 04:47:57 Equations Markov models Stochastic differential equations Markov chain Fokker–Planck equation Differential equation Langevin equation Wiener process Propagator Statistics Stochastic processes Markov processes
588	Merging Simulation and Projection Approaches to Solve High-Dimensional Problems with an Application to a New Keynesian model Lilia Maliar and Serguei Maliar March 9, 2014 Abstract Add to Reading List Source URL: www.qeconomics.org Language: English - Date: 2014-11-24 16:20:39 Mathematical optimization Operations research Ergodic theory Markov chain Economic model Dynamic programming Invariant measure Stochastic process Algorithm Statistics Mathematical analysis Mathematics
589	U:/drafts/ITSStrans08/ITSSTrans08.dvi Add to Reading List Source URL: www6.in.tum.de Language: English - Date: 2013-10-23 12:08:29 Markov processes Stochastic differential equations Generalized functions Markov chain Distribution Stochastic matrix Kalman filter Symbol Stochastic process Statistics Markov models Mathematical analysis
590	Time evolution, correlations, and linear response of non-Markov processes Add to Reading List Source URL: www.physik.uni-augsburg.de Language: English - Date: 2006-07-07 04:42:23 Quantum mechanics Markov processes Markov models Propagator Semigroup Autoregressive conditional heteroskedasticity Stochastic process Heat equation Markov property Statistics Physics Quantum field theory

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