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tel-01940281v1  Habilitation à diriger des recherches
François Bachoc. Contributions aux processus gaussiens, à la quantification d'incertitudes et à l’inférence post-sélection de modèle
Statistiques [math.ST]. Université Toulouse 3 - Paul Sabatier; Institut de mathématiques de toulouse, 2018
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hal-01450002v2  Journal articles
François BachocFabrice GamboaJean-Michel LoubesNil Venet. A Gaussian Process Regression Model for Distribution Inputs
IEEE Transactions on Information Theory, Institute of Electrical and Electronics Engineers, 2018, 64 (10), pp.6620 - 6637
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hal-01597076v1  Journal articles
Daira VelandiaMoreno BevilacquaFrançois BachocXavier GendreJean-Michel Loubes. Maximum likelihood estimation for a bivariate Gaussian process under fixed domain asymptotics
Electronic journal of statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2017, 11 (2), pp.2978-3007. ⟨10.1214/17-EJS1298⟩
hal-01864332v1  Journal articles
Andrés F. López-LoperaFrançois BachocNicolas DurrandeOlivier Roustant. Finite-dimensional Gaussian approximation with linear inequality constraints
SIAM/ASA Journal on Uncertainty Quantification, ASA, American Statistical Association, 2018, 6 (3), pp.1224-1255. ⟨10.1137/17M1153157⟩
hal-01864340v1  Journal articles
François BachocAgnès LagnouxAndrés F. López-Lopera. Maximum likelihood estimation for Gaussian processes under inequality constraints
Electronic journal of statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2019, 13 (2), pp.2921-2969
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hal-02976018v2  Directions of work or proceedings
François BachocTommaso CesariSébastien Gerchinovitz. The sample complexity of level set approximation
2021, Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS 2021)
hal-03097220v1  Conference papers
Julien BectFrançois BachocDavid Ginsbourger. Uncertainty functionals and the greedy reduction of uncertainty
Workshop on "Design of Experiments: New Challenges", Apr 2018, CIRM, Marseille, France
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hal-01772538v2  Journal articles
François BachocGilles BlanchardPierre Neuvial. On the Post Selection Inference constant under Restricted Isometry Properties
Electronic journal of statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2018, ⟨10.1214/18-ejs1490⟩
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cea-02382795v1  Journal articles
François BachocKarim AmmarJean-Marc Martinez. Improvement of code behavior in a design of experiments by metamodeling
Nuclear Science and Engineering, Academic Press, 2016, 183 (3), pp.387-406. ⟨10.13182/NSE15-108⟩
hal-03109928v1  Conference papers
François Bachoc. Gaussian process regression model for distribution inputs
First UQSay seminar on UQ, DACE and related topics (UQSay #01), Mar 2019, Gif-sur-Yvette, France
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hal-01351088v4  Journal articles
Julien BectFrançois BachocDavid Ginsbourger. A supermartingale approach to Gaussian process based sequential design of experiments
Bernoulli, Bernoulli Society for Mathematical Statistics and Probability, 2019, 25 (4A), pp.2883-2919. ⟨10.3150/18-bej1074⟩
hal-02458084v1  Journal articles
Déborah IdierAxel AurouetFrançois BachocAudrey BaillsJosé Betancourt et al.  Toward a User-Based, Robust and Fast Running Method for Coastal Flooding Forecast, Early Warning, and Risk Prevention
Journal of Coastal Research, Coastal Education and Research Foundation, 2020, Special issue : Proceedings from the International Coastal Symposium (ICS) 2020, 95, pp.11-15. ⟨10.2112/SI95-216.1⟩