New statistical and nonstatistical methods of data selection and processing are developed by a group of mathematicians from Department of Mathematics of the Faculty of Nuclear Sciences and Physical Engineering of the Czech Technical University (FJFI CVUT) and IT specialists from Institute of Computer Science of the Czech Academy of Sciences (UI AVCR). 
FJFI CVUT  
Group of mathematicians from FJFI CVUT develop special statistical and
machine learning algorithms for specific classification problems which are key
component of data analysis in particle physics.



Optimization of residual classifier network architecture. 
Results of neural networks used to recognize D0 mesons by separation of correct charge combinations from combinatorial background. 
Kernel density estimates of a twodimensional distribution without sphering. 