Stochastic Processes with R

An Introduction

By: Olga Korosteleva

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Paperback | 27 May 2024 | Edition Number 1

At a Glance

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202 Pages

Dimensions(cm)
23.4 x 15.6 x 1.09

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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 familiarize themselves with stochastic processes before going on to 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

Industry Reviews

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

"This book is useful for simulating Markov chains, Poisson processes, and Brownian motion. The book can be used as supplementary reading for a first course in stochastic processes at the undergraduate-graduate level."

- David J. Olive, Technometrics, November 2022.

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