Doctorate, Research
UQSay seminar
… Stochastic inversion problems are typically encountered when it is wanted to quantify the uncertainty affecting the inputs of computer models. They consist in estimating input distributions from … increasingly examined in Bayesian contexts where the targeted inputs are affected by a mixture of aleatory and …Published on: