0533072 - ÚI 2021 CZ eng D - Thesis
Pidnebesna, Anna
Statistical Analysis of the Spatiotemporal Processes.
Czech Technical University in Prague, Faculty of Electrical Engineering. Defended: Prague. 16. 9. 2020. - Prague: Czech Technical University in Prague, 2020. 89 s.
Keywords : spatiotemporal point process * multivariate time series * neuronal activity estimation * deconvolution methods * intensity function * K-function * pair-correlation function * change point * Dantzig Selector * LASSO * adjusted Akaike Information Criterion * Bayesian Information Criterion * effective connectivity * functional magnetic resonance imaging * hemodynamic response
Permanent Link: http://hdl.handle.net/11104/0311564
Pidnebesna, Anna
Statistical Analysis of the Spatiotemporal Processes.
Czech Technical University in Prague, Faculty of Electrical Engineering. Defended: Prague. 16. 9. 2020. - Prague: Czech Technical University in Prague, 2020. 89 s.
Keywords : spatiotemporal point process * multivariate time series * neuronal activity estimation * deconvolution methods * intensity function * K-function * pair-correlation function * change point * Dantzig Selector * LASSO * adjusted Akaike Information Criterion * Bayesian Information Criterion * effective connectivity * functional magnetic resonance imaging * hemodynamic response
Permanent Link: http://hdl.handle.net/11104/0311564