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stat.AP2026
Multi-fidelity Gaussian process regression for noisy outputs and non-nested experimental designs: a comparison between the recursive and non-recursive formulations
Nils Baillie, Baptiste Kerleguer, Cyril Feau +1
This paper investigates a recursive formulation of auto-regressive multi-fidelity Gaussian process regression in the challenging setting of noisy and non-nested high- and low-fidel…
stat.AP2025★ 2 cited
Robust a posteriori estimation of probit-lognormal seismic fragility curves via sequential design of experiments and constrained reference prior
Antoine Van Biesbroeck, Clément Gauchy, Cyril Feau +1
A seismic fragility curve expresses the probability of failure of a structure conditional to an intensity measure (IM) derived from seismic signals. When only limited data is avail…
stat.AP2024
Reference prior for Bayesian estimation of seismic fragility curves
Antoine Van Biesbroeck, Clement Gauchy, Cyril Feau +1
One of the key elements of probabilistic seismic risk assessment studies is the fragility curve, which represents the conditional probability of failure of a mechanical structure f…