Lectures on Probability Theory and Statistics [electronic resource] : Ecole d'Eté de Probabilités de Saint-Flour XXXIII - 2003 / edited by Jean Picard.

Contributor(s): Picard, Jean [editor.] | SpringerLink (Online service)Material type: TextTextSeries: Lecture Notes in Mathematics ; 1869Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005Description: VIII, 286 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540315377Subject(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 EquationsAdditional physical formats: Printed edition:: No titleDDC classification: 519.2 LOC classification: QA273.A1-274.9QA274-274.9Online 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.
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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.

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