Institute of Information Theory and Automation

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Conditional independence structures: algebraic and geometric methods

Agency: 
GACR
Identification Code: 
GA13-20012S
Start: 
2013-02-01
End: 
2015-12-31
Project Focus: 
teoretický
Project Type (EU): 
other
Abstract: 
The application of algebraic and geometric methods is one of the present trends in modern statistics. The aim of the project is to apply the methods of combinatorial optimization to problems with motivation in statistics and artificial intelligence. The goals are divided into three groups: the goals concerning statistical learning Bayesian network structure and conditional independence, the goals concerning exponential families and graphical models, and the goals concerning game theory and artificial intelligence. The project is meant as a natural continuation of both research on conditional independence structures and of collaboration with foreign experts, whose central expertise is in combinatorial optimization.
Publications ÚTIA: 
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kroupa: 2016-01-18 15:55