Optimal design of experiments
Optimal design for time-dependent data
Optimal design for spatial data
Numerical methods of construction of optimal designs
Optimization challenges in design
Global optimization
Time series analysis with SSA and similar methods
Interrelations between SSA, classical time series analysis
and subspace-based methods of signal processing
Monitoring structure of time series
Forecasting
Non-parametric detection of change-points and structural breaks in time series and processes
Multivariate time series analysis and causality
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