Perplexing Problems in Probability: Progress in Probability
Editat de Maury Bramson, Richard T. Durretten Limba Engleză Paperback – 8 oct 2011
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Specificații
ISBN-13: 9781461274421
ISBN-10: 1461274427
Pagini: 412
Ilustrații: 398 p.
Dimensiuni: 155 x 235 x 23 mm
Greutate: 0.62 kg
Ediția:Softcover reprint of the original 1st ed. 1999
Editura: birkhäuser
Seria Progress in Probability
Locul publicării:Boston, MA, United States
ISBN-10: 1461274427
Pagini: 412
Ilustrații: 398 p.
Dimensiuni: 155 x 235 x 23 mm
Greutate: 0.62 kg
Ediția:Softcover reprint of the original 1st ed. 1999
Editura: birkhäuser
Seria Progress in Probability
Locul publicării:Boston, MA, United States
Public țintă
ResearchCuprins
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.