Synthesis Lectures on Mathematics & Statistics

Blanco-Castañeda, Liliana; Arunachalam, Viswanathan

This book provides the essential theoretical tools for stochastic modeling. The authors address the most used models in applications such as Markov chains with discrete-time parameters, hidden Markov chains, Poisson processes, and birth and death processes. This book also presents specific examples with simulation methods that apply the topics to different areas of knowledge. These examples include practical applications, such as modeling the COVID-19 pandemic and animal movement modeling. This book is concise and rigorous, presenting the material in an easily accessible manner that allows readers to learn how to address and solve problems of a stochastic nature. 

Details

Published by: Springer

Publication Date: 2024-06-19

Format: Paperback

ISBN-13: 9783031312847

DOI: 10.1007/978-3-031-31282-3

Dimensions: 240cm x168cm

Pages: 151