PUBLICATIONS
Published
- Luc Pronzato, Haiying Wang, Sequential online subsampling for thinning experimental designs. J. of Statistical Planning and Inference, Elsevier, 2021, 212, pp: 169-193. https://hal.archives-ouvertes.fr/hal-02527330v2
- Luc Pronzato, Anatoli Zhigljavsky. Bayesian quadrature, energy minimization and space-filling designs. SIAM/ASA J. Uncertainty Quantification, ASA, American Statistical Association, In press. https://hal.archives-ouvertes.fr/hal-01864076v3
- Luc Pronzato, Anatoli Zhigljavsky. Minimum energy measures for singular kernels. J. Computational and Applied Mathematics, 382: 113089 (16 pages), 2021. https://hal.archives-ouvertes.fr/hal-02495643v2
- Bertrand Iooss. Estimation itérative en propagation d'incertitudes : réglage robuste de l'algorithme de Robbins-Monro. Actes des 52emes Journées de Statisique (SFdS), 4660471. 2020. https:hal.achives-ouvertes.fr/hal-025118
- Radoslav Harman, Werner G. Müller. A design criterion for symmetric model discrimination based on flexible nominal sets. Biometrical Journal, 2020. https://onlinelibrary.wiley.com/doi/full/10.1002/bimj.201900074
- A. Rappold, Werner G. Müller, D.C. Woods. Copula based robust optimal block designs. Applied Stochastic Models in Business. 2019. https://onlinelibrary.wiley.com/doi/full/10.1002/asmb.2469
- Luc Pronzato, Guillaume Sagnol. Removing inessential points in c- and A-optimal designs. J. of Statistical Planning and Inference, 213: 233-252, 2021. https://hal.archives-ouvertes.fr/hal-02868664v1
- Amaya Nogales Gómez, Luc Pronzato,Maria-João Rendas. Incremental space-filling design based on coverings and spacings: improving upon low discrepancy sequences. J. of Statistical Theory and Practice, 15(4):77, 2021. https://hal.archives-ouvertes.fr/hal-02987983v1
- Luc Pronzato. Performance analysis of greedy algorithms for minimising a Maximum Mean Discrepancy, Statistics and Computing, 2022, accepted. https://hal.archives-ouvertes.fr/hal-03114891v1
- E. Fekhari, B. Iooss, J. Muré, L. Pronzato and M.-J. Rendas. Model predictivity assessment: incremental test-set selection and accuracy evaluation, submitted, 2022. (hal-03523695)
- Pre-prints
- Rodrigo Cabral-Farias, Luc Pronzato, Maria-João Rendas. Adaptive design criteria motivates by a plug-in percentile estimator. 2020. https://hal.archives-ouvertes.fr/hal-02483076v1
- Rodrigo Cabral-Farias, Luc Pronzato, Maria-João Rendas. Incremental constrution of nested designs based on two-level fractional factorial designs. 2020. https://hal.archives-ouvertes.fr/hal-02483004v1
- Bertrand Iooss. Robust tuning of Robbins-Monro algorithm for quantile estimation in iterative uncertainty quantification. Technical report. 2020. https://hal.archives-ouvertes.fr/hal-02918478v1
- Conference presentations
- Bertrand Iooss, J. Longchamp. Robust tuning of Robbins-Monro algorithm for iterative uncertainty quantification: application to wind-farm asset management. To be presented at ESREL 2021, Angers, France, September 2021.