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

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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.

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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.

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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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