Essentials of Stochastic Processes: Springer Texts in Statistics, 3rd Edition
Essentials of Stochastic Processes: Springer Texts in Statistics, 3rd Edition by Richard Durrett
English | 2017 | ISBN: 3319456148 | 236 Pages | EPUB | 2.30 MB
English | 2017 | ISBN: 3319456148 | 236 Pages | EPUB | 2.30 MB
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.
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