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Contemporary Problems in Probability and Statistics: Gaussian Approximations and Small Deviations for Stochastic Processes

Subject Area Mathematics
Term from 2017 to 2022
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 323605340
 
Final Report Year 2023

Final Report Abstract

The cooperation partners have studied small deviations for classes of stochastic processes and Gaussian approximations in probability. They studied breakpoints of Brownian chains subject to random and deterministic interactions, persistence problems for fractional Brownia motions and developed formulas for sums of Grassmann angles in stochastic geometry extending results of Sudakov and Tsireson. Furthermore optimal concentration bounds were derived for the multivariate and infinite dimensional approximation of sums of independent random vectors by infinite divisible distributions related to the second uniform limit theorem of Kolmogorov.

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