Institute of Information Theory and Automation

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Department of Stochastic Informatics

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266052466
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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

Colloquium of the Department of Stochastic Informatics

2023-03-03 14:25

Department detail

Mgr. Pavel Boček
Mgr. Lucie Fajfrová Ph.D.
Raffaele Grande Ph.D.
Prof. RNDr. Jana Jurečková DrSc.
Ing. Tomáš Kouřim
Ing. Martin Kovanda
Mgr. Michal Kupsa Ph.D.
Jan Niklas Latz DSc.
Jarmila Maňhalová
RNDr. Jiří Michálek CSc.
Mgr. Martin Ondreját Ph.D.
Mgr. Iván Leonardo Pérez Cabrera
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: 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.
Duration: 2006 - 2011
The development of the methodology for quality improvement, diagnostics and reliability analysis of production and technological processes, namely with respect to their aplicability in praxis. The advancement of complex analytical methods, leading to increase of competitiveness of industial works.
Duration: 2005 - 2008
Methods for statistical data analysis and probability modeling play an increasingly important role in learning about natural and social phenomena, especially in connection with the availability and spread of information technology.
Duration: 2004 - 2006
The spacings-based goodnes-of-fit test statistics known from the literature are shown to be asymptotically equivalent to spacings-based Pearson-type statistics. Limit laws will be extended, and the related relative asymptotic efficiencies will be evaluated for new clases of such statistics.
2017-05-24
Ing. Petr Tichavský received the scientific title "Research Professor in Physico-Mathematical Sciences" from the...
2012-10-08
Martina Hofmanová was awarded a L'Oréal-Unesco fellowship "Pour les Femmes et la Science" of EUR 15.000 on October 8th...
2008-09-29
Cena Akademie věd ČR pro mladé vědecké pracovníky za rok 2008 byla udělena Martinu Ondrejátovi z oddělení SI za soubor...