Introduction to Stochastic Processes with R
A clear, practical guide to stochastic processes using R, covering Markov chains, Poisson processes, and Brownian motion with examples and exercises.
About This Book
This book introduces the fundamental concepts of stochastic processes with an emphasis on practical implementation using the R programming language.
Readers will explore key topics such as Markov chains, Poisson processes, and Brownian motion through clear explanations and examples.
The text is designed for students and practitioners seeking to understand and apply stochastic modeling techniques in various fields.
Each chapter includes R code and exercises to reinforce learning and facilitate hands-on experience with the material.
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