24 citations · 43 across the 10 of their papers we have counts for
3 papers · 1 filter
CaliCo: a R package for Bayesian calibration
Mathieu Carmassi, Pierre Barbillon, Matthieu Chiodetti +2
In this article, we present a recently released R package for Bayesian calibration. Many industrial fields are facing unfeasible or costly field experiments. These experiments are…
Bayesian calibration of a numerical code for prediction
Mathieu Carmassi, Pierre Barbillon, Merlin Keller +2
Field experiments are often difficult and expensive to make. To bypass these issues, industrial companies have developed computational codes. These codes intend to be representativ…
Adaptive numerical designs for the calibration of computer codes
Guillaume Damblin, Pierre Barbillon, Merlin Keller +2
Making good predictions of a physical system using a computer code requires the inputs to be carefully specified. Some of these inputs called control variables have to reproduce ph…