Probability in Banach Spaces, 8: Proceedings of the Eighth International Conference - Tapa blanda

Sinopsis

An exposition of Talagrand's mini-course on matching theorems.- The Ajtai-Komlos-Tusnady matching theorem for general measures.- Some generalizations of the Euclidean two-sample matching problem.- Sharp bounds on the Lp norm of a randomly stopped multilinear form with an application to Wald's equation.- On Hoffmann-Jorgensen's inequality for U-processes.- The Poisson counting argument: A heuristic for understanding what makes a Poissonized sum large.- On the lower tail of Gaussian measures on lp.- Conditional versions of the Strassen-Dudley Theorem.- An approach to inequalities for the distributions of infinite-dimensional martingales.- Random integral representations for classes of limit distributions similar to Levy class L0- III.- Asymptotic dependence of stable self-similar processes of Chentsov-type.- Distributions of stable processes on spaces of measurable functions.- Harmonizability, V-boundedness, and stationary dilation of Banach space-valued processes.- Asymptotic behavior of self-normalized trimmed sums: Nonnormal limits III.- On large deviations of Gaussian measures in Banach spaces.- Mosco convergence and large deviations.- A functional LIL approach to pointwise Bahadur-Kiefer theorems.- The Glivenko-Cantelli theorem in a Banach space setting.- Marcinkiewicz type laws of large numbers and convergence of moments for U-statistics.- Self-normalized bounded laws of the iterated logarithm in Banach spaces.- Rates of clustering for weakly convergent Gaussian vectors and some applications.- On the almost sure summability of B-valued random variables.- On the rate of Clustering in Strassen's LIL for Brownian Motion.- A central limit theorem for the renormalized self-intersection local time of a stationary process.- Moment generating functions for local times of symmetric Markov processes and random walks.- Partial-sum processes with random lattice-points and indexed by Vapnik ?ervonenkis classes of sets in arbitrary sample spaces.- Learliability models and Vapnik-Chervonenkis combinatorics.- Nonlinear functional of empirical measures.- KAC empirical processes and the bootstrap.- Functional limit theorems for probability forecasts.- Exponential bounds in Vapnik-?ervonenkis classes of index.- Tail estimates for empirical characteristic functions, with applications to random arrays.- The radial process for confidence sets.- Stochastic search in a Banach space.

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