Title: Introduction to Stochastic Processes with R 1st Edition
Author(s): Robert P. Dobrow
Publisher: Wiley
Description:
“Introduction to Stochastic Processes with R” provides a comprehensive introduction to the theory and applications of stochastic processes, accompanied by practical demonstrations using the R programming language. Authored by Robert P. Dobrow, this first edition offers a blend of theoretical concepts and hands-on programming exercises, making it accessible to readers with varying levels of mathematical and programming backgrounds. The book covers fundamental topics such as Markov chains, Poisson processes, renewal theory, and stochastic differential equations, while also exploring advanced concepts such as queueing theory and simulation techniques. With a focus on practical implementation, each chapter includes R code examples, illustrations, and exercises to reinforce key concepts and facilitate learning. Whether you’re a student, researcher, or practitioner in fields such as statistics, engineering, finance, or biology, this book serves as an invaluable resource for understanding and applying stochastic processes in real-world contexts, leveraging the power of R for simulation, analysis, and visualization.