Institute of Information Theory and Automation

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Department of Stochastic Informatics

Publications ÚTIA: 

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: 2014 - 2016
We want to conduct some meaningful and fruitful econometric research into multivariate regression quantiles.
Duration: 2012 - 2015
The project is devoted to the study of threshold phenomena: the abrupt and dramatic change in the properties of a stochastic system once a characteristic parameter passes a threshold value. General principles and various forms of threshold phenomena in large stochastic systems are analyzed.
Duration: 2010 - 2014
The project is aimed at investigating qualitative properties of stochastic infinite dimensional systems (in particular, stochastic partial differential equations) and at research in infinite dimensional stochastic control theory. More specifically, the following topics will be emphasized: 1.
Duration: 2009 - 2011
The aim of the project is to develop several aspects of the theory of Gibbs states and phase transitions of lattice models. Gradient lattice models, where the challenge is to understand the case of non-convex potentials, will be studied by means of multiscale analysis and a refinement of cluster expansions.
Duration: 2009 - 2013
The proposed project aims at development of existing methods of blind source separation and blind separation of convolutive mixtures that are important in biomedicine, acoustics and speech processing, and in wireless communications. It will extend previous results of the appplicants in this area.
Duration: 2009 - 2011
Recurrence is one of the key concepts in topological dynamics, ergodic and information theories. Especially, limit distributions of return times in dynamical systems and stationary processes have been intensively studied. This field covers fundamental mathematical theorems as well as important apllications, e.g.
Ing. Petr Tichavský received the scientific title "Research Professor in Physico-Mathematical Sciences" from the...
Martina Hofmanová was awarded a L'Oréal-Unesco fellowship "Pour les Femmes et la Science" of EUR 15.000 on October 8th...
Cena Akademie věd ČR pro mladé vědecké pracovníky za rok 2008 byla udělena Martinu Ondrejátovi z oddělení SI za soubor...