Institute of Information Theory and Automation

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Department of Stochastic Informatics

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Research in the department is concentrated on following fields of mathematics:

  • Stochastic analysis, with emphasis on infinite-dimensional problems and interacting particle systems
  • Strictly stationary processes and ergodic theory
  • Analysis of statistical data, with focus on multidimensional nonparametric statistics and survival analysis
  • Statistical signal processing, in particular blind signal separation problems
2022-01-27 11:08

Department detail

Mgr. Pavel Boček
Mgr. Lucie Fajfrová Ph.D.
Prof. RNDr. Jana Jurečková DrSc.
Ing. Tomáš Kouřim
Mgr. Michal Kupsa Ph.D.
Jan Niklas Latz
Jarmila Maňhalová
RNDr. Jiří Michálek CSc.
Mgr. Martin Ondreját Ph.D.
RNDr. Jan Seidler CSc.
RNDr. Miroslav Šiman Ph.D.
Mgr. Jakub Slavík Ph.D.
Dr. Jan M. Swart
Ing. Petr Tichavský DSc.
Doc. Petr Volf CSc.
Ing. Karel Vrbenský
Duration: 2007 - 2009
New theoretically well founded general definitions of the amount of information contained in messages, signals and vision fields from stochastically specified sources. Specification of particular formulas and presentation of properties of the new information measures in a form suitable for engineering applications in research and development of information processing systems.
Duration: 2007 - 2009
The project is aimed at investigating qualitative properties of stochastic infinite dimensional systems (in particular, of solutions to infinite dimensional stochastic equations) and at research in infinite dimensional stochastic control theory. The moreimmediate aims are: 1.
Duration: 2006 - 2008
Phase transitions of complex systems are studied with help of probabilistic and analytic methods. The techniques of Pirogov-Sinai theory and cluster expansion are further developed and applied.
Duration: 2006 - 2008
Development of an intelligent information system of maintenance. The system will possess a modular structure containing both basic tools and functions of maintenance management and modules with advanced analytical methods, and including an adaptive knowledge data-basis.
Duration: 2006 - 2010
The project is devoted to basic research in mathematics, probability and statistics, with applications to neurophysiology and economics. A broad new class of random point processes in space and time will be developed and its properties investigated mainly analytically and also by means of simulations. Advanced probabilistic tools will be enhanced to solve complex modeling problems.