This is yet another indispensable volume for all probabilists and collectors of the Saint-Flour series, and is also of great interest for mathematical physicists. It contains two of the three lecture courses given at the 32nd Probability Summer School in Saint-Flour (July 7-24, 2002). Boris Tsirelson's lectures introduce the notion of nonclassical noise produced by very nonlinear functions of many independent random variables, for instance singular stochastic flows or oriented percolation. Two examples are examined (noise made by a Poisson snake, the Brownian web). A new framework for the scaling limit is proposed, as well as old and new results about noises, stability, and spectral measures. Wendelin Werner's contribution gives a survey of...
Nature is inherently noisy and nonlinear. It is noisy in the sense that all macroscopic systems are ...
The volume presents extensive research devoted to a broad spectrum of mathematical analysis and prob...
Great progress in the understanding of conformally invariant scaling limits of stochastic models, ha...
Lévy processes are the natural continuous-time analogue of random walks and form a rich class of sto...
Focusing on the mathematics that lies at the intersection of probability theory, statistical physics...
This thesis focusses on the properties of, and relationships between, several fundamental objects ar...
Nature is inherently noisy and nonlinear. It is noisy in the sense that all macroscopic systems are ...
Lecture NotesThe lectures will be devoted to a somewhat detailed presentation of Stochastic Schramm-...
review paper (congress proceedings), 18 pages, 2 figuresIn this review paper, we first discuss some ...
This volume represents a part of the main result obtained by a group of French probabilists, togethe...
Random objects such as clusters in the plane can often be described in terms of the conformal mappin...
This dissertation deals with two-dimensional random walks and their conformally invariant scaling li...
As usual, some of the contributions to this 44th Séminaire de Probabilités were presented during the...
As usual, some of the contributions to this 44th Séminaire de Probabilités were presented during the...
Besides topics traditionally found in the Séminaire de Probabilités (Martingale Theory, Stochastic P...
Nature is inherently noisy and nonlinear. It is noisy in the sense that all macroscopic systems are ...
The volume presents extensive research devoted to a broad spectrum of mathematical analysis and prob...
Great progress in the understanding of conformally invariant scaling limits of stochastic models, ha...
Lévy processes are the natural continuous-time analogue of random walks and form a rich class of sto...
Focusing on the mathematics that lies at the intersection of probability theory, statistical physics...
This thesis focusses on the properties of, and relationships between, several fundamental objects ar...
Nature is inherently noisy and nonlinear. It is noisy in the sense that all macroscopic systems are ...
Lecture NotesThe lectures will be devoted to a somewhat detailed presentation of Stochastic Schramm-...
review paper (congress proceedings), 18 pages, 2 figuresIn this review paper, we first discuss some ...
This volume represents a part of the main result obtained by a group of French probabilists, togethe...
Random objects such as clusters in the plane can often be described in terms of the conformal mappin...
This dissertation deals with two-dimensional random walks and their conformally invariant scaling li...
As usual, some of the contributions to this 44th Séminaire de Probabilités were presented during the...
As usual, some of the contributions to this 44th Séminaire de Probabilités were presented during the...
Besides topics traditionally found in the Séminaire de Probabilités (Martingale Theory, Stochastic P...
Nature is inherently noisy and nonlinear. It is noisy in the sense that all macroscopic systems are ...
The volume presents extensive research devoted to a broad spectrum of mathematical analysis and prob...
Great progress in the understanding of conformally invariant scaling limits of stochastic models, ha...