Probability and Stochastic Analysis
Description
Limiting behavior of the stochastic processes, stochastic analysis, martingale and other stochastic inequalities, limit theorems for U-statisctics and theory of random chaos, applications to geometry of convex sets and theory of graphs.
Employees and PhD students
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dr hab. Radosław Adamczak, prof. ucz.
Concentration of measure, probability in Banach spaces, U-statistics, random matrices, probabilistic methods in convex geometry
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prof. dr hab. Witold Bednorz, prof. UW
General theory of processes and their connections with functional analysis and approximation theory; majorizing measures techniques
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prof. dr hab. Jacek Jakubowski
Stochastic analysis; applications to financial mathematics
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prof. dr hab. Rafał Latała
Theory of random chaoses and U-statistics; estimations of tails and moments, limit theorems. Probabilistic methods in analysis and convex geometry, stochastic inequalities
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dr Rafał Meller
Tail and moments bounds for random multilinear forms
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dr hab. Piotr Miłoś, prof. IMPAN
Stochastic analysis, branching particle systems, limit theorems for branching systems, superprocesses
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prof. dr hab. Krzysztof Oleszkiewicz
Stochastic inequalities, probabilistic methods in analysis, graph theory, discrete harmonic analysis and convex geometry
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prof. dr hab. Adam Osękowski
Comutative and noncomutative martingale inequalities, Burkholder method
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prof. dr hab. Katarzyna Pietruska-Pałuba
Diffusion processes on fractals, differential inequalities and their applications in probability, Levy processses and nonlocal operators, Levy processes in random enviroment
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dr Marta Strzelecka
Bounds for sums of random vectors, probabilistic methods in convex geometry
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dr Michał Strzelecki
Concentration of measure; martingale inequalities with applications to analysis
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prof. dr hab. Anna Talarczyk-Noble
Stochastic analysis, stochastic processes in the space of distributions, limit theorems for empirical processes related to particle systems; analysis of the corresponding limit processes