Lectures on Probability Theory and Statistics [electronic resource] :Ecole d'Eté de Probabilités de Saint-Flour XXXIII - 2003 / edited by Jean Picard.
by Picard, Jean [editor.]; SpringerLink (Online service).
Material type:
BookSeries: Lecture Notes in Mathematics: 1869Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.Description: VIII, 286 p. online resource.ISBN: 9783540315377.Subject(s): Mathematics | Differential equations, partial | Potential theory (Mathematics) | Distribution (Probability theory) | Statistics | Mathematics | Probability Theory and Stochastic Processes | Measure and Integration | Potential Theory | Statistics for Engineering, Physics, Computer Science, Chemistry & Geosciences | Partial Differential EquationsDDC classification: 519.2 Online resources: Click here to access online
In:
Springer eBooksSummary: This volume contains two of the three lectures that were given at the 33rd Probability Summer School in Saint-Flour (July 6-23, 2003). Amir Dembo’s course is devoted to recent studies of the fractal nature of random sets, focusing on some fine properties of the sample path of random walk and Brownian motion. In particular, the cover time for Markov chains, the dimension of discrete limsup random fractals, the multi-scale truncated second moment and the Ciesielski-Taylor identities are explored. Tadahisa Funaki’s course reviews recent developments of the mathematical theory on stochastic interface models, mostly on the so-called \nabla \varphi interface model. The results are formulated as classical limit theorems in probability theory, and the text serves with good applications of basic probability techniques.
| Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| QA274-274.9 (Browse shelf) | Available | ||||
| Long Loan | MAIN LIBRARY | QA273.A1-274.9 (Browse shelf) | Available |
This volume contains two of the three lectures that were given at the 33rd Probability Summer School in Saint-Flour (July 6-23, 2003). Amir Dembo’s course is devoted to recent studies of the fractal nature of random sets, focusing on some fine properties of the sample path of random walk and Brownian motion. In particular, the cover time for Markov chains, the dimension of discrete limsup random fractals, the multi-scale truncated second moment and the Ciesielski-Taylor identities are explored. Tadahisa Funaki’s course reviews recent developments of the mathematical theory on stochastic interface models, mostly on the so-called \nabla \varphi interface model. The results are formulated as classical limit theorems in probability theory, and the text serves with good applications of basic probability techniques.
There are no comments for this item.