François Bachoc
François Bachoc
Assistant professor (tenured), Toulouse Mathematics Institute
Adresse e-mail validée de math.univ-toulouse.fr - Page d'accueil
Titre
Citée par
Citée par
Année
Cross validation and maximum likelihood estimations of hyper-parameters of Gaussian processes with model misspecification
F Bachoc
Computational Statistics & Data Analysis 66, 55-69, 2013
1832013
A supermartingale approach to Gaussian process based sequential design of experiments
J Bect, F Bachoc, D Ginsbourger
Bernoulli 25 (4A), 2883-2919, 2019
502019
Asymptotic analysis of the role of spatial sampling for covariance parameter estimation of Gaussian processes
F Bachoc
Journal of Multivariate Analysis 125, 1-35, 2014
472014
Calibration and improved prediction of computer models by universal Kriging
F Bachoc, G Bois, J Garnier, JM Martinez
Nuclear Science and Engineering 176 (1), 81-97, 2014
382014
Finite-dimensional Gaussian approximation with linear inequality constraints
AF López-Lopera, F Bachoc, N Durrande, O Roustant
SIAM/ASA Journal on Uncertainty Quantification 6 (3), 1224-1255, 2018
342018
Nested Kriging predictions for datasets with a large number of observations
D Rullière, N Durrande, F Bachoc, C Chevalier
Statistics and Computing 28 (4), 849-867, 2018
332018
Valid confidence intervals for post-model-selection predictors
F Bachoc, H Leeb, BM Pötscher
arXiv preprint arXiv:1412.4605, 2014
32*2014
A Gaussian process regression model for distribution inputs
F Bachoc, F Gamboa, JM Loubes, N Venet
IEEE Transactions on Information Theory 64 (10), 6620-6637, 2017
312017
Uniformly valid confidence intervals post-model-selection
F Bachoc, D Preinerstorfer, L Steinberger
The Annals of Statistics 48 (1), 440-463, 2020
272020
Asymptotic properties of multivariate tapering for estimation and prediction
R Furrer, F Bachoc, J Du
Journal of Multivariate Analysis 149, 177-191, 2016
262016
Asymptotic analysis of covariance parameter estimation for Gaussian processes in the misspecified case
F Bachoc
Bernoulli 24 (2), 1531-1575, 2018
242018
Parametric estimation of covariance function in Gaussian-process based Kriging models. Application to uncertainty quantification for computer experiments
F Bachoc
Université Paris-Diderot-Paris VII, 2013
212013
Estimation paramétrique de la fonction de covariance dans le modèle de krigeage par processus gaussiens: application à la quantification des incertitudes en simulation numérique
F Bachoc
Paris 7, 2013
212013
Sensitivity indices for independent groups of variables
B Broto, F Bachoc, M Depecker, JM Martinez
Mathematics and Computers in Simulation 163, 19-31, 2019
152019
Maximum likelihood estimation for Gaussian processes under inequality constraints
F Bachoc, A Lagnoux, AF López-Lopera
Electronic journal of statistics 13 (2), 2921-2969, 2019
142019
Variance reduction for estimation of Shapley effects and adaptation to unknown input distribution
B Broto, F Bachoc, M Depecker
SIAM/ASA Journal on Uncertainty Quantification 8 (2), 693-716, 2020
122020
Cross-validation estimation of covariance parameters under fixed-domain asymptotics
F Bachoc, A Lagnoux, TMN Nguyen
Journal of Multivariate Analysis 160, 42-67, 2017
122017
Improvement of code behavior in a design of experiments by metamodeling
F Bachoc, K Ammar, JM Martinez
Nuclear science and engineering 183 (3), 387-406, 2016
112016
Gaussian process optimization with failures: classification and convergence proof
F Bachoc, C Helbert, V Picheny
Journal of Global Optimization 78 (3), 483-506, 2020
92020
Gaussian process metamodeling of functional-input code for coastal flood hazard assessment
J Betancourt, F Bachoc, T Klein, D Idier, R Pedreros, J Rohmer
Reliability Engineering & System Safety 198, 106870, 2020
92020
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20