activity
20172026
most citedMultilevel Sequential Monte Carlo for Bayesian Inverse Problems

52 citations · 199 across the 24 of their papers we have counts for

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6 papers · 1 filter

stat.ME2026

A Hierarchical Bayesian Framework for Model-based Prognostics

Xinyu Jia, Iason Papaioannou, Daniel Straub

In prognostics and health management (PHM) of engineered systems, maintenance decisions are ideally informed by predictions of a system's remaining useful life (RUL) based on opera…

stat.ME2025

A novel stratified sampler with unbalanced refinement for network reliability assessment

Jianpeng Chan, Iason Papaioannou, Daniel Straub

We investigate stratified sampling in the context of network reliability assessment. We propose an unbalanced stratum refinement procedure, which operates on a partition of network…

stat.ME2024

Enhanced sequential directional importance sampling for structural reliability analysis

Kai Chenga, Iason Papaioannou, Daniel Straub

Sequential directional importance sampling (SDIS) is an efficient adaptive simulation method for estimating failure probabilities. It expresses the failure probability as the produ…

stat.ME2024

FORM-based global reliability sensitivity analysis of systems with multiple failure modes

Iason Papaioannou, Daniel Straub

Global variance-based reliability sensitivity indices arise from a variance decomposition of the indicator function describing the failure event. The first-order indices reflect th…

stat.ME2023★ 1 cited

Bayesian improved cross entropy method with categorical mixture models

Jianpeng Chan, Iason Papaioannou, Daniel Straub

We employ the Bayesian improved cross entropy (BiCE) method for rare event estimation in static networks and choose the categorical mixture as the parametric family to capture the…

stat.ME2023★ 2 cited

Stein Variational Rare Event Simulation

Max Ehre, Iason Papaioannou, Daniel Straub

Rare event simulation and rare event probability estimation are important tasks within the analysis of systems subject to uncertainty and randomness. Simultaneously, accurately est…