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07/26/2022
An exhaustive variable selection study for linear models of soundscape emotions: rankings and Gibbs analysis
In the last decade, soundscapes have become one of the most active topic...
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06/10/2022
On the safe use of prior densities for Bayesian model selection
The application of Bayesian inference for the purpose of model selection...
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08/01/2021
A survey of Monte Carlo methods for noisy and costly densities with application to reinforcement learning
This survey gives an overview of Monte Carlo methodologies using surroga...
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07/24/2021
Automatic tempered posterior distributions for Bayesian inversion problems
We propose a novel adaptive importance sampling scheme for Bayesian inve...
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05/06/2021
MCMC-driven importance samplers
Monte Carlo methods are the standard procedure for estimating complicate...
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10/20/2020
Deep Importance Sampling based on Regression for Model Inversion and Emulation
Understanding systems by forward and inverse modeling is a recurrent top...
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05/31/2020
