ENGLISH

Random walk: a modern introduction

Book information

Publisher
Cambridge University Press
Year
2010
ISBN
9780511743566, 0511743564, 978-0-511-74465-5, 051174465X, 9780511750113, 0511750110, 9780511750854, 0511750854, 9780521519182
Language
english
Format
PDF
Filesize
3 MB (3233608 bytes)
Series
Cambridge studies in advanced mathematics 123
Pages
364\378
Time added
2019-09-25 00:10:17

Description

"Random walks are stochastic processes formed by successive summation of independent, identically distributed random variables and are one of the most studied topics in probability theory. This contemporary introduction evolved from courses taught at Cornell University and the University of Chicago by the first author, who is one of the most highly regarded researchers in the field of stochastic processes. This text meets the need for a modern reference to the detailed properties of an important class of random walks on the integer lattice. It is suitable for probabilists, mathematicians working in related fields, and for researchers in other disciplines who use random walks in modeling"--  Read more... Abstract: "Random walks are stochastic processes formed by successive summation of independent, identically distributed random variables and are one of the most studied topics in probability theory. This contemporary introduction evolved from courses taught at Cornell University and the University of Chicago by the first author, who is one of the most highly regarded researchers in the field of stochastic processes. This text meets the need for a modern reference to the detailed properties of an important class of random walks on the integer lattice. It is suitable for probabilists, mathematicians working in related fields, and for researchers in other disciplines who use random walks in modeling" Content: Introduction -- Local central limit theorem -- Approximation by Brownian motion -- The Green's function -- One-dimensional walks -- Potential theory -- Dyadic coupling -- Additional topics on simple random walk -- Loop measures -- Intersection probabilities for random walks -- Loop-erased random walk.

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