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stat.CO2024
Adaptive reduced tempering For Bayesian inverse problems and rare event simulation
Frederic Cerou, Patrick Heas, Mathias Rousset
This work proposes an adaptive sequential Monte Carlo sampling algorithm to solve Bayesian inverse problems in scenarios where likelihood evaluations are costly but can be approxim…
stat.CO2018
Selecting Reduced Models in the Cross-Entropy Method
Patrick Héas
This paper deals with the estimation of rare event probabilities using importance sampling (IS), where an optimal proposal distribution is computed with the cross-entropy (CE) meth…