Interacting Stochastic Systems edited by Jean-Dominique Deuschel, Andreas Greven.

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Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Deuschel, Jean-Dominique (Editor), Greven, Andreas (Editor)
Format:	eBook
Language:	English
Published:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.
Edition:	1st ed. 2005.
Series:	Springer eBook Collection.
Subjects:	Probabilities. Applied mathematics. Engineering mathematics. Biomathematics. Mathematical physics. Physics. Statistics . 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.

Table of Contents:

Stochastic Methods in Statistical Physics
Coarse-Graining Techniques for (Random) Kac Models
Euclidean Gibbs Measures of Quantum Crystals: Existence, Uniqueness and a Priori Estimates
Some Jump Processes in Quantum Field Theory
Gibbs Measures on Brownian Paths: Theory and Applications
Spectral Theory for Nonstationary Random Potentials
A Survey of Rigorous Results on Random Schrödinger Operators for Amorphous Solids
The Parabolic Anderson Model
Random Spectral Distributions
Stochastic in Population Models
Renormalization and Universality for Multitype Population Models
Stochastic Insertion-Deletion Processes and Statistical Sequence Alignment
Branching Processes in Random Environment — A View on Critical and Subcritical Cases
Stochastic Analysis
Thin Points of Brownian Motion Intersection Local Times
Coupling, Regularity and Curvature
Two Mathematical Approaches to Stochastic Resonance
Continuity Properties of Inertial Manifolds for Stochastic Retarded Semilinear Parabolic Equations
The Random Walk Representation for Interacting Diffusion Processes
Applications of Stochastic Analysis in Finance, Engineering and Algorithms
On Worst-Case Investment with Applications in Finance and Insurance Mathematics
Random Dynamical Systems Methods in Ship Stability: A Case Study
Analysis of Algorithms by the Contraction Method: Additive and Max-recursive Sequences.

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