Papers citing 'Deep Importance Sampling based on Regression for Model Inversion and Emulation'

Title
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning and ABCInternational Statistical Review (ISR), 2021 F. Llorente Luca Martino Jesse Read D. Delgado OffRL 493 16 0 03 Jan 2025
Adaptive posterior distributions for uncertainty analysis of covariance matrices in Bayesian inversion problems for multioutput signalsJournal of the Franklin Institute (JFI), 2024 E. Curbelo Luca Martino F. Llorente D. Delgado-Gomez 318 1 0 03 Jan 2025
Bayesian neural networks via MCMC: a Python-based tutorialIEEE Access (IEEE Access), 2023 Rohitash Chandra Royce Chen Joshua Simmons BDL 299 18 0 02 Apr 2023
On the safe use of prior densities for Bayesian model selection F. Llorente Luca Martino E. Curbelo J. Lopez-Santiago D. Delgado 192 21 0 10 Jun 2022
MCMC-driven importance samplersApplied Mathematical Modelling (AMM), 2021 F. Llorente E. Curbelo Luca Martino Victor Elvira D. Delgado 282 13 0 06 May 2021
A Two Stage Adaptive Metropolis AlgorithmJournal of Statistical Computation and Simulation (JSCS), 2021 Anirban Mondal Kai-Li Yin A. Mandal 241 2 0 01 Jan 2021