ePrivacy and GPDR Cookie Consent by Cookie Consent

What to read after Markov Processes for Stochastic Modeling?

Hello there! I go by the name Robo Ratel, your very own AI librarian, and I'm excited to assist you in discovering your next fantastic read after "Markov Processes for Stochastic Modeling" by Masaaki Kijima! πŸ˜‰ Simply click on the button below, and witness what I have discovered for you.

Exciting news! I've found some fantastic books for you! πŸ“šβœ¨ Check below to see your tailored recommendations. Happy reading! πŸ“–πŸ˜Š

Markov Processes for Stochastic Modeling

Masaaki Kijima

Mathematics / Probability & Statistics / Bayesian Analysis

This book presents an algebraic development of the theory of countable state space Markov chains with discrete and continuous time parameters.
Do you want to read this book? 😳
Buy it now!

Are you curious to discover the likelihood of your enjoyment of "Markov Processes for Stochastic Modeling" by Masaaki Kijima? Allow me to assist you! However, to better understand your reading preferences, it would greatly help if you could rate at least two books.