BOOK SERIES


Stochastic Modeling Series


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Constrained Markov Decision Processes

Constrained Markov Decision Processes

Eitan Altman
March 30, 1999

This book provides a unified approach for the study of constrained Markov decision processes with a finite state space and unbounded costs. Unlike the single controller case considered in many other books, the author considers a single controller with several objectives, such as minimizing delays...

Markov Processes for Stochastic Modeling

Markov Processes for Stochastic Modeling

Masaaki Kijima
January 01, 1997

This book presents an algebraic development of the theory of countable state space Markov chains with discrete and continuous time parameters....

Algorithmic Probability: A Collection of Problems

Algorithmic Probability: A Collection of Problems

Marcel F. Neuts
July 01, 1995

This unique text collects more than 400 problems in combinatorics, derived distributions, discrete and continuous Markov chains, and models requiring a computer experimental approach. The first book to deal with simplified versions of models encountered in the contemporary statistical or...

Stationary Marked Point Processes: An Intuitive Approach

Stationary Marked Point Processes: An Intuitive Approach

Karl Sigman
May 15, 1995

Taking an applied point of view, this book provides an accessible introduction to the theory of stationary random marked point processes on the non-negative real line. The reader will be able to gain an intuitive understanding of stationary marked point processes and be able to apply the theory to...

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