Stéphane Guerrier

EPFL E EDCE-GE
GC A2 454 (Bâtiment GC)
Station 18
CH-1015 Lausanne

EPFL > VPA > VPA-AVP-PGE > AVP-PGE-EDOC > EDCE-ENS

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Inference for large-scale time series with application to sensor fusion

Large-scale time series analysis is performed by a new statistical tool that is superior to other estimators of complex state-space models. The identified stochastic dependences can be used for sensor fusion by Bayesian (e.g. Kalman) filtering or for studying changes in natural/biological phenomena.