Lectures on Probability Theory and Statistics [electronic resource] : Ecole d'Eté de Probabilités de SaintFlour XXXIII  2003 / edited by Jean Picard.
Contributor(s): Picard, Jean [editor.]  SpringerLink (Online service).
Material type: TextSeries: École d'Été de Probabilités de SaintFlour: 1869Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005Description: VIII, 286 p. 40 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540315377.Subject(s): Distribution (Probability theory  Mathematics  Potential theory (Mathematics)  Statistics  Differential equations, partial  Probability Theory and Stochastic Processes  Measure and Integration  Potential Theory  Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences  Partial Differential EquationsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC 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 SaintFlour (July 623, 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 multiscale truncated second moment and the CiesielskiTaylor identities are explored. Tadahisa Funaki’s course reviews recent developments of the mathematical theory on stochastic interface models, mostly on the socalled \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  Item holds  

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This volume contains two of the three lectures that were given at the 33rd Probability Summer School in SaintFlour (July 623, 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 multiscale truncated second moment and the CiesielskiTaylor identities are explored. Tadahisa Funaki’s course reviews recent developments of the mathematical theory on stochastic interface models, mostly on the socalled \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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Lectures on probability theory and statistics by Picard Jean ed. 
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