activity
20182026
most citedReference prior for Bayesian estimation of seismic fragility curves

7 citations · 14 across the 7 of their papers we have counts for

collaborators

7 papers

physics.data-an2026

Multi-fidelity Monte Carlo estimation of floor response spectra under combined seismic and structural parameter uncertainties

Nils Baillie, Baptiste Kerleguer, Cyril Feau +2

Floor response spectra (FRS) are essential tools for the design of non-structural elements (such as equipment or components). Given the various physical phenomena influencing FRS,…

stat.AP2025

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.AP2023★ 7 cited

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…

stat.AP2022★ 1 cited

Uncertainty quantification and global sensitivity analysis of seismic fragility curves using kriging

Clement Gauchy, Cyril Feau, Josselin Garnier

Seismic fragility curves have been introduced as key components of Seismic Probabilistic Risk Assessment studies. They express the probability of failure of mechanical structures c…

stat.ML2021

Importance sampling based active learning for parametric seismic fragility curve estimation

Clement Gauchy, Cyril Feau, Josselin Garnier

The key elements of seismic probabilistic risk assessment studies are the fragility curves which express the probabilities of failure of structures conditional to a seismic intensi…

cs.LG2018★ 4 cited

Efficient Seismic fragility curve estimation by Active Learning on Support Vector Machines

Rémi Sainct, Cyril Feau, Jean-Marc Martinez +1

Fragility curves which express the failure probability of a structure, or critical components, as function of a loading intensity measure are nowadays widely used (i) in Seismic Pr…