Bayesian inference of earthquake parameters from buoy data using a polynomial chaos-based surrogate

Olivier Le Maitre (1) , Loïc Giraldi (2) , Olivier Le Maître (1) , Kyle Mandli (3) , Clint Dawson (4) , Ibrahim Hoteit (5) , Omar Knio (6)

1 LIMSI - Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur
2 GeM - Institut de Recherche en Génie Civil et Mécanique
3 Department of Applied Physics and Applied Mathematics [New York]
4 ICES - Institute for Computational Engineering and Sciences [Austin]
5 IDOPT - System identification and optimization in physics and environment
6 KAUST - King Abdullah University of Science and Technology [Saudi Arabia]

Domaines: Statistiques [math.ST]; Océanographie; Applications [stat.AP]

Olivier Le Maitre, Loïc Giraldi, Olivier Le Maître, Kyle Mandli, Clint Dawson, et al.. Bayesian inference of earthquake parameters from buoy data using a polynomial chaos-based surrogate. Computational Geosciences, 2017, 21 (4), pp.683-699. ⟨10.1007/s10596-017-9646-z⟩. ⟨hal-02327673⟩