Essentials of stochastic processes
By: Rick Durrett.
Series: Springer texts in statistics
Publisher: Springer
Published: 1999
Place of publication: New York
Language: eng
Number of pages: 281
Subjects: Stochastic processes
Description: "This book is for a first course on stochastic processes to be taken by undergraduates or masters students who have had a course in probability theory, but who have not had a course in measure theory. It covers Markov chains in discrete and continuous time, Poisson processes, renewal theory, and Brownian motion and martingales. The last two topics are important for the brief treatment of option pricing."--BOOK JACKET.

"The book presents only the essentials of the subject, the parts of the theory most important for applications. To allow readers to choose their own level of detail, many of the proofs begin with a nonrigorous answer to the question "Why is this true?" followed by a proof that fills in the missing details."--BOOK JACKET.
Notes: Includes bibliographical references (p. [271]-272) and index.