BAY - Xavier
EMSE
bay@emse.fr
04 77 42 00 23
Researcher teacher
MAAD research Department : Models and Algorithms to support Decision making
Thème(s) : Team Metamodeling, Continuous Optimization and Applications (MOCA)
Dernière(s) publication(s) au LIMOS :
Toutes les publications de Xavier BAY au LIMOS
Dernière(s) publication(s) au LIMOS :
Dernière(s) publication(s) au LIMOS :
| 2025
ART |
Hassan Maatouk, Didier Rullière, Xavier Bay
Large-scale constrained Gaussian processes for shape-restricted function estimation Statistics and Computing - 2025 |
Maths |
| 2024
UNDEFINED |
Hassan Maatouk, Didier Rullière, Xavier Bay
Truncated multivariate normal distribution under nonlinear constraints |
Maths |
| 2024
ART |
Hassan Maatouk, Didier Rullière, Xavier Bay
Sampling large hyperplane-truncated multivariate normal distributions Computational Statistics - 2024 |
Maths |
| 2024
UNDEFINED |
Hassan Maatouk, Didier Rullière, Xavier Bay
Efficient constrained Gaussian process approximation using elliptical slice sampling |
Statistiques |
| 2024
ART |
Hassan Maatouk, Didier Rullière, Xavier Bay
Bayesian analysis of constrained Gaussian processes Bayesian Analysis - 2024 |
Statistiques |