Titlebook: Understanding Markov Chains; Examples and Applica Nicolas Privault Textbook 20131st edition Springer Nature Singapore Pte Ltd. 2013 Applica

JOT

Introduction,applications to multiple fields, and can be useful anytime one recognizes the role of randomness and unpredictability of events that occur at random times in a physical, biological, or financial system.

Condense

Spatial Poisson Processes,. However, in contrast with the previous chapter, no time ordering is . imposed here on the index set .. Sections . and . contain some more advanced results on moments and deviation inequalities for Poisson stochastic integrals.

Minatory

1615-2085 umerous exercises to test students‘ understanding of key con.This book provides an undergraduate introduction to discrete and continuous-time Markov chains and their applications. A large focus is placed on the first step analysis technique and its applications to average hitting times and ruin prob

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