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Institute of Information Theory and Automation
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Department of Stochastic Informatics
Head:
Deputy head:
Secretary:
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Phone:
266052466
Publications ÚTIA:
list 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
Department detail
Duration: 2008
- 2009
Investigation limit behaviour of zero range processes in random environment, invariant principles for stationary stochastic processes; formulating and structuring problem. Development of methods enabling advanced description of asymptotics of particle systems under investigation, derivation of results and applications; organizing workshop on limit theorems and particle systems in Prague.
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
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.
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