Lectures on probability theory and statistics - Ecole d'ete de probabilites de Saint-Flour XXXIII. Amir Dembo, Jean Picard, Tadahisa Funaki

Lectures on probability theory and statistics - Ecole d'ete de probabilites de Saint-Flour XXXIII



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Lectures on probability theory and statistics - Ecole d'ete de probabilites de Saint-Flour XXXIII Amir Dembo, Jean Picard, Tadahisa Funaki ebook pdf
Publisher: Springer
Language: English
Page: 288
ISBN: 3540260692, 9783540260691

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 abla 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.

From the Back Cover

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 abla 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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