BAY - Xavier
None EMSE
bay@emse.fr
04 77 42 00 23
Researcher teacher
MAAD research Department : Models and Algorithms to support Decision making
Theme(s) : Team Metamodeling, Continuous Optimization and Applications (MOCA)
Last publication(s) at LIMOS :
All publications of Xavier BAY at LIMOS
Last publication(s) at LIMOS :
Last publication(s) at LIMOS :
| 2025
UNDEFINED |
Hassan Maatouk, Didier Rullière, Xavier Bay
Efficient constrained Gaussian process approximation using elliptical slice sampling |
Statistiques |
| 2025
UNDEFINED |
Hassan Maatouk, Didier Rullière, Xavier Bay
Bayesian linear models for large datasets: Markov chain Monte Carlo or Matheron's update rule |
Statistiques |
| 2025
COUV |
Hassan Maatouk, Didier Rullière, Xavier Bay
Efficient Bayesian Linear Models for a Large Number of Observations |
Statistiques |
| 2025
ART |
Hassan Maatouk, Didier Rullière, Xavier Bay
Large-scale constrained Gaussian processes for shape-restricted function estimation Statistics and Computing - 2025 |
Statistiques |
| 2024
UNDEFINED |
Hassan Maatouk, Didier Rullière, Xavier Bay
Truncated multivariate normal distribution under nonlinear constraints |
Statistiques |