BAY - Xavier
None EMSE
bay@emse.fr
04 77 42 00 23
Enseignant chercheur
Axe MAAD : Modèles et Algorithmes de l’Aide à la Décision
Thème(s) : Métamodélisation, Optimisation Continue et 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
UNDEFINED |
Hassan Maatouk, Didier Rullière, Xavier Bay
Efficient constrained Gaussian process approximation using elliptical slice sampling |
Maths |
| 2025
UNDEFINED |
Hassan Maatouk, Didier Rullière, Xavier Bay
Bayesian linear models for large datasets: Markov chain Monte Carlo or Matheron's update rule |
Maths |
| 2025
ART |
Hassan Maatouk, Didier Rullière, Xavier Bay
Large-scale constrained Gaussian processes for shape-restricted function estimation Statistics and Computing - 2025 |
Maths |
| 2025
COUV |
Hassan Maatouk, Didier Rullière, Xavier Bay
Efficient Bayesian Linear Models for a Large Number of Observations |
Maths |
| 2024
UNDEFINED |
Hassan Maatouk, Didier Rullière, Xavier Bay
Truncated multivariate normal distribution under nonlinear constraints |
Maths |