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Markov Processes for Stochastic Modeling
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Markov processes are processes that have limited memory. In particular, their dependence on the past is only through the previous state. They are used to model
Markov Processes for Stochastic Modeling
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Pages: 345
Authors: Masaaki Kijima
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This book presents an algebraic development of the theory of countable state space Markov chains with discrete- and continuous-time parameters. A Markov chain i
An Introduction to Stochastic Modeling
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Type: BOOK - Published: 2014-05-10 - Publisher: Academic Press

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An Introduction to Stochastic Modeling provides information pertinent to the standard concepts and methods of stochastic modeling. This book presents the rich d
Cycle Representations of Markov Processes
Language: en
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Authors: Sophia L. Kalpazidou
Categories: Mathematics
Type: BOOK - Published: 2013-06-29 - Publisher: Springer Science & Business Media

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This book provides new insight into Markovian dependence via the cycle decompositions. It presents a systematic account of a class of stochastic processes known
Stochastic Modelling of Social Processes
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Stochastic Modelling of Social Processes provides information pertinent to the development in the field of stochastic modeling and its applications in the socia