An investigation into an alternative transition criterion of the Transitional Markov Chain Monte Carlo method for Bayesian model updating

by Lye, Adolphus, Marino, Luca
Published 2023

Comparison between Distance Functions for Approximate Bayesian Computation to Perform Stochastic Model Updating and Model Validation under Limited Data

by Lye, Adolphus, Ferson, Scott, Xiao, Sicong
Published 2024

Stochastic Model Updating Using The Jenson-Shannon Divergence For Calibration and Validation Under Limited Data

by Lye, Adolphus, Ferson, Scott, Xiao, Sicong
Published 2024

Towards a Robust Prediction of Material Properties by Artificial Intelligence and Probabilistic Methods

by Lye, Adolphus, Nawal, Prinja, Patelli, Edoardo
Published 2023

On-line Bayesian Inference for Structural Health Monitoring under Model Uncertainty using Sequential Ensemble Monte Carlo

by Lye, Adolphus, Cicirello, Alice, Patelli, Edoardo
Published 2023

COMPARISON BETWEEN DISTANCE FUNCTIONS FOR APPROXIMATE BAYESIAN COMPUTATION TOWARDS STOCHASTIC MODEL UPDATING AND MODEL VALIDATION UNDER LIMITED DATA

by Lye, Adolphus, Ferson, Scott, Xiao, Sicong
Published 2023

An investigation towards the Uncertainty Model calibration approaches for NASA-Langley UQ Challenge 2019

by Lye, Adolphus, Cicirello, Alice, Patelli, Edoardo
Published 2023

Data-driven material property prediction using probabilistic AI for Nuclear safety

by Lye, Adolphus, Prinja, Nawal, Patelli, Edoardo
Published 2024

Sequential Ensemble Monte Carlo Sampler for On-Line Bayesian Inference of Time-Varying Parameter in Engineering Applications

by Lye, Adolphus, Marino, Luca, Cicirello, Alice, Patelli, Edoardo
Published 2024

Data-driven Bayesian inference for stochastic model identification of nonlinear aeroelastic systems

by McGurk, Michael, Lye, Adolphus, Renson, Ludovic, Yuan, Jie
Published 2024

Robust Probability Bounds Analysis for Failure Analysis under Lack of Data and Model Uncertainty

by Lye, Adolphus, Gray, Ander, de Angelis, Marco, Ferson, Scott
Published 2023