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Essentials of Stochastic Processes (Springer Texts in Statistics) by Durrett, Richard is a nonfiction available to read on EtoBox.

What is Essentials of Stochastic Processes (Springer Texts in Statistics) about?

Building upon the previous editions, this textbook is a first course in stochastic processes taken by undergraduate and graduate students (MS and PhD students from math, statistics, economics, computer science, engineering, and finance departments) who have had a course in probability theory. It covers Markov chains in discrete and continuous time, Poisson processes, renewal processes, martingales, and option pricing. One can only learn a subject by seeing it in action, so there are a large number of examples and more than 300 carefully chosen exercises to deepen the reader's understanding. Drawing from teaching experience and student feedback, there are many new examples and problems with solutions that use TI-83 to eliminate the tedious details of solving linear equations by hand, and the collection of exercises is much improved, with many more biological examples. Originally included in previous editions, material too advanced for this first course in stochastic processes has been eliminated while treatment of other topics useful for applications has been expanded. In addition, the ordering of topics has been improved; for example, the difficult subject of martingales is delayed

Who reads Essentials of Stochastic Processes (Springer Texts in Statistics)?

Author

Durrett, Richard

Publisher

Springer International Publishing Springer

Published

2016

Language

EN

ISBN

9783319456133

Category

nonfiction

Subjects

Science, Mathematics, Business