Stéphane Guerrier

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

vCard
Administrative data

Teaching & PhD

Courses

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.