Lecture Courses in
Theory of Stochastic Processes
Introduction to Infinite-dimensional Stochastic
Analysis
Limit Theorems for Stochastic Processes
Statistics of Stochastic Processes
Simulation Methods for Stochastic Processes
Gaussian Measures in Infinite-dimensional
Spaces
Combinatorial Methods in Probability Theory
Optimal Control for Markov Processes.
Special Lecture Courses
Markov Models: Stabilization and Limit Theorems. Workshop “Stochastic processes with
applications in the natural sciences”, Universidad de los
The Parametrix Method, with Probabilistic Interpretations and
Applications. ERASMUS 2015
Summer School for PhD students, Technical University of Dresden, 2015.
Ergodicity, coupling, and limit theorems
in Markov models.
Coupling method with applications to
ergodicity, limit theorems, and spectral properties of Markov processes. Technical
University of Berlin, Humboldt University, and University îf Potsdam,
2013
Supervision
Doctoral habilitation
Victoria Knopova, Taras
Shevchenko Kyiv University, 2016
PhD Defended
Dmytro Ivanenko,
Yurii Gannychenko,
Tetyana Kosenkova,
Semen Bodnarchuk,
Yurii Kartashov,
Ongoing PhD Projects
Taras Tymoshkevych, Geometrical
conditions for functional ineqaulities
Daryna Soboleva, Large
deviations for SDE's with discontinuous coefficients
Georgi Molyboga, Rate of
convergence in the CLT for Markov functionals
Bachelors and Masters
15 Bachelor and 13 Master degrees
are defended under the supervision of A.Kulik since 2004.
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