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Probability on trees and networks
~
Lyons, Russell.
Probability on trees and networks
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Probability on trees and networks/ Russell Lyons, Yuval Peres.
Author:
Lyons, Russell.
other author:
Peres, Yuval.
Published:
New York :Cambridge University Press, : 2016.,
Description:
xv, 698 p. :ill., digital ; : 24 cm.;
Subject:
Stochastic processes. -
Online resource:
https://doi.org/10.1017/9781316672815
ISBN:
9781316672815
Probability on trees and networks
Lyons, Russell.
Probability on trees and networks
[electronic resource] /Russell Lyons, Yuval Peres. - New York :Cambridge University Press,2016. - xv, 698 p. :ill., digital ;24 cm. - Cambridge series in statistical and probabilistic mathematics ;42. - Cambridge series on statistical and probabilistic mathematics ;32..
Starting around the late 1950s, several research communities began relating the geometry of graphs to stochastic processes on these graphs. This book, twenty years in the making, ties together research in the field, encompassing work on percolation, isoperimetric inequalities, eigenvalues, transition probabilities, and random walks. Written by two leading researchers, the text emphasizes intuition, while giving complete proofs and more than 850 exercises. Many recent developments, in which the authors have played a leading role, are discussed, including percolation on trees and Cayley graphs, uniform spanning forests, the mass-transport technique, and connections on random walks on graphs to embedding in Hilbert space. This state-of-the-art account of probability on networks will be indispensable for graduate students and researchers alike.
ISBN: 9781316672815Subjects--Topical Terms:
528256
Stochastic processes.
LC Class. No.: QA274 / .L956 2016
Dewey Class. No.: 511.52
Probability on trees and networks
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Starting around the late 1950s, several research communities began relating the geometry of graphs to stochastic processes on these graphs. This book, twenty years in the making, ties together research in the field, encompassing work on percolation, isoperimetric inequalities, eigenvalues, transition probabilities, and random walks. Written by two leading researchers, the text emphasizes intuition, while giving complete proofs and more than 850 exercises. Many recent developments, in which the authors have played a leading role, are discussed, including percolation on trees and Cayley graphs, uniform spanning forests, the mass-transport technique, and connections on random walks on graphs to embedding in Hilbert space. This state-of-the-art account of probability on networks will be indispensable for graduate students and researchers alike.
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https://doi.org/10.1017/9781316672815
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