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This book contains eleven articles surveying emerging topics in discrete probability. The papers are based on talks given by experts at the DIMACS "Microsurveys in Discrete Probability" workshop held at the Institute for Advanced Study, Princeton, NJ, in 1997. This compilation of current research in discrete probability provides a unique overview that is not available elsewhere in book or survey form.
Topics covered in the volume include: Markov chains (perfect sampling, coupling from the past, mixing times), random trees (spanning trees on infinite graphs, enumeration of trees and forests, tree-valued Markov chains), distributional estimates (method of bounded differences, Stein-Chen method for normal approximation), dynamical percolation, Poisson processes, and reconstructing random walk from scenery.
Foreword vii
Preface ix
Tree-valued Markov chains and Poisson-Galton-Watson
distributions
David Aldous 1
On the central role of scale invariant Poisson
processes on (0, infinity)
Richard Arratia 21
Beyond the method of bounded differences
Anant P. Godbole and Pawel Hitczenko 43
Dynamical percolation: Early results and open problems
Olle Häggström 59
Distinguishing and reconstructing sceneries from
observations along random walk paths
Harry Kesten 75
Mixing times
Laszlo Lovász and Peter Winkler 85
A bird's-eye view of uniform spanning trees and forests
Russell Lyons 135
Enumerations of trees and forests related to branching
processes and random walks
Jim Pitman 163
Coupling from the past: A user's guide
James Propp and David Wilson 181
Couplings for normal approximations with Stein's
method
Gesine Reinert 193
Annotated bibliography of perfectly random sampling
with Markov chains
David B. Wilson 209
Index of Volumes