Journal of the Operational Research SocietyIsaacson D,Madsen R. Markov chains theory and applications[M].{H}New York:John Wiley and Sons,Inc,1973.Isaason D and Madsen R. Markov chains theory and applications [-M]. New York.. John Wiley and Sons, 1976....
Theory and ApplicationsBook © 2009 Overview Authors: Xianping Guo , Onésimo Hernández-Lerma To the best of our knowledge, it is the first book completely devoted to continuous-time Markov Decision Processes It studies continuous-time MDPs allowing unbounded transition rates, which is the case...
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a markov chain model for subsurface characterization: theory and applications 1 This paper proposes an extension of a single coupled Markov chain model to characterize heterogeneity of geological formations, and to make conditioning on... A Elfeki,M Dekking 被引量: 0发表: 0年 A single-chain-ba...
Markov-chains-马尔科夫链.doc,Markov Chains 4.1 INTRODUCTION AND EXAMPLES Consider a stochastic process {Xn,n=0,1,2, ...} that takes on a finite or countable number of possible values. Unless otherwise mentioned, this set of possible will be denoted by th
A technique is presented, which enables the state space of a Harris recurrent Markov chain to be “split” in a way, which introduces into the sp
This is not only because they pervade the applications of random processes, but also because one can calculate explicitly many quantities of interest. This textbook, aimed at advanced undergraduate or MSc students with some background in basic probability theory, focuses on Markov chains and quickly...
(1953) is presented along with an exposition of the relevant theory, techniques of application and methods and difficulties of assessing the error in Monte Carlo estimates. Examples of the methods, including the generation of random orthogonal matrices and potential applications of the methods to ...
The type of probability distribution used to implement the stochastic part of the model, which defines the updating rule and governs the dynamics at a Markovian level, plays a crucial part in the analysis of “voter-like” models used in population genetics, evolutionary game theory and social ...