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2015 | OriginalPaper | Chapter

1. Infinitesimal specification of continuous time Markov chains

Authors : David F. Anderson, Thomas G. Kurtz

Published in: Stochastic Analysis of Biochemical Systems

Publisher: Springer International Publishing

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Abstract

The basic building blocks of our models are counting processes, that is, nonnegative-integer-valued processes that are constant except for jumps of + 1. In this chapter, we introduce the notion of an intensity for a counting process and show how a counting process model can be specified by specifying a functional form for its intensity. The counting process corresponding to the intensity can be determined either as the solution of a stochastic equation or as the solution of a martingale problem. By writing a lattice-valued (e.g., \(\mathbb{Z}^{d}\)-valued) Markov chain in terms of counting processes that count the number of jumps of each of a countable number of types, we can specify the chain by specifying the intensities of the counting processes as functions of the state of the Markov chain.

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Metadata
Title
Infinitesimal specification of continuous time Markov chains
Authors
David F. Anderson
Thomas G. Kurtz
Copyright Year
2015
DOI
https://doi.org/10.1007/978-3-319-16895-1_1

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