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Stochastic Processes and Models provides a concise and lucid introduction to simple stochastic processes and models. Including numerous exercises, problems and solutions, it covers the key concepts and tools, in particular: randon walks, renewals, Markov chains, martingales, the Wiener process model for Brownian motion, and diffusion processes, concluding with a brief account of the stochastic integral and stochastic differential equations as they arise in option-pricing. The text has been thoroughly class-tested and is ideal for an undergraduate second course in probability for students of statistics, mathematics, finance and operational research.
This text investigates the fundamental principles and applications of stochastic processes to provide a structured introduction for students in quantitative fields. David Stirzaker, an established authority in probability theory, utilizes a pedagogical framework designed for undergraduate study. The book synthesizes core mathematical concepts with practical modeling techniques, ensuring that students can bridge the gap between theoretical probability and applied stochastic analysis.
What You Will Find
Experts and educators frequently highlight this text as a foundational resource for undergraduate courses in statistics and finance. Readers note that the prose is accessible yet maintains the necessary academic rigor for students entering the field of stochastic modeling.
Page Count:
344
Publication Date:
2005-09-15
Publisher:
Oxford University Press
ISBN-10:
0198568142
ISBN-13:
9780198568148
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