Stochastic Processes with R : An Introduction book cover
1st Edition

Stochastic Processes with R
An Introduction

  • Available for pre-order. Item will ship after February 17, 2022
ISBN 9781032153735
February 17, 2022 Forthcoming by Chapman and Hall/CRC
128 Pages 57 Color Illustrations

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Book Description

Stochastic Processes with R: An Introduction cuts through the heavy theory that is present in most courses on random processes and serves as practical guide to simulated trajectories and real-life applications for stochastic processes. The light yet detailed text provides a solid foundation that is an ideal companion for undergraduate statistics students looking to familiarise themselves with stochastic processes before going onto more advanced courses.

Key Features:

•         Provides complete R codes for all simulations and calculations

•         Substantial scientific or popular applications of each process with occasional statistical analysis.

•         Helpful definitions and examples are provided for each process.

•         End of chapter exercises cover theoretical applications and practice calculations.

Table of Contents


Chapter 1 Stochastic Process. Discrete-time Markov Chain

Chapter 2 Random Walk

Chapter 3 Poisson Process

Chapter 4 Nonhomogeneous Poisson Process

Chapter 5 Compound Poisson Process

Chapter 6 Conditional Poisson Process

Chapter 7 Birth-and-Death Process

Chapter 8 Branching Process

Chapter 9 Brownian Motion

Recommended books

List of Notation


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Olga Korosteleva is a professor of Statistics at the Department of Mathematics and Statistics at California State University, Long Beach (CSULB). She received her Bachelor’s degree in Mathematics in 1996 from Wayne State University in Detroit, and a Ph.D. in Statistics from Purdue University in West Lafayette, Indiana, in 2002. Since then she has been teaching Statistics and Mathematics courses at CSULB.


CRC Press
Title: Stochastic Processes with R
ISBN:  9781032153735
was successfully transmitted to the Library of Congress.