An Introduction to Stochastic Modelin: Fourth Edition

Mark A. Pinsky*, Samuel Karlin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Scopus citations

Abstract

Serving as the foundation for a one-semester course in stochastic processes for students familiar with elementary probability theory and calculus, Introduction to Stochastic Modeling, 4e, bridges the gap between basic probability and an intermediate level course in stochastic processes. The objectives of the text are to introduce students to the standard concepts and methods of stochastic modeling, to illustrate the rich diversity of applications of stochastic processes in the applied sciences, and to provide exercises in the application of simple stochastic analysis to realistic problems. New to this edition: Realistic applications from a variety of disciplines integrated throughout the text, including more biological applications. Plentiful, completely updated problems. Completely updated and reorganized end-of-chapter exercise sets, 250 exercises with answers. New chapters of stochastic differential equations and Brownian motion and related processes. Additional sections on Martingale and Poisson process.

Original languageEnglish (US)
Title of host publicationAn Introduction to Stochastic Modeling
Subtitle of host publicationFourth Edition
PublisherElsevier Inc
Pages1-563
Number of pages563
ISBN (Print)9780123814166
DOIs
StatePublished - Dec 2010

ASJC Scopus subject areas

  • Mathematics(all)

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