High-dimensional time varying regression problems,which reveal dynamic behavior,are occurring quite frequently in financial data analysis.In option pricing,limit order book analysis,weather derivatives and also in neuron economics we face this problem of VERY HIGH dimensional data in space that moves,changes and warps as time advances.Typically such data are analyzed by time propagation of a few numbers of factors.The inference on the whole dynamic system is then based on a low-dimensional time series analysis.