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Perplexing Problems in Probabi...
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Perplexing Problems in Probability Festschrift in Honor of Harry Kesten / edited by Maury Bramson, Richard T. Durrett.
Saved in:
Bibliographic Details
Corporate Author:
SpringerLink (Online service)
Other Authors:
Bramson, Maury
(Editor)
,
Durrett, Richard T.
(Editor)
Format:
eBook
Language:
English
Published:
Boston, MA :
Birkhäuser Boston : Imprint: Birkhäuser,
1999.
Edition:
1st ed. 1999.
Series:
Progress in Probability,
44
Springer eBook Collection.
Subjects:
Probabilities.
Applied mathematics.
Engineering mathematics.
Electronic resources (E-books)
Online Access:
Click to view e-book
Holy Cross Note:
Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
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Description
Table of Contents
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Table of Contents:
1 Harry Kesten’s Publications: A Personal Perspective
2 Lattice Trees, Percolation and Super-Brownian Motion
3 Percolation in ? + 1 Dimensions at the Uniqueness Threshold
4 Percolation on Transitive Graphs as a Coalescent Process: Relentless Merging Followed by Simultaneous Uniqueness
5 Inequalities and Entanglements for Percolation and Random-Cluster Models
6 From Greedy Lattice Animals to Euclidean First-Passage Percolation
7 Reverse Shapes in First-Passage Percolation and Related Growth Models
8 Double Behavior of Critical First-Passage Percolation
9 The van den Berg-Kesten-Reimer Inequality: A Review
10 Large Scale Degrees and the Number of Spanning Clusters for the Uniform Spanning Tree
11 On the Absence of Phase Transition in the Monomer-Dimer Model
12 Loop-Erased Random Walk
13 Dominance of the Sum over the Maximum and Some New Classes of Stochastic Compactness
14 Stability and Heavy Traffic Limits for Queueing Networks
15 Rescaled Particle Systems Converging to Super-Brownian Motion
16 The Hausdorff Measure of the Range of Super-Brownian Motion
17 Branching Random Walks on Finite Trees
18 Toom’s Stability Theorem in Continuous Time
19 The Role of Explicit Space in Plant Competition Models
20 Large Deviations for Interacting Particle Systems
21 The Gibbs Conditioning Principle for Markov Chains.
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