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hal-01496712v1
Article dans une revue
Luc Pronzato. Minimax and maximin space-filling designs: some properties and methods for construction Journal de la Société Française de Statistique, Société Française de Statistique et Société Mathématique de France, 2017, 158 (1), pp.7-36. <www.sfds.asso.fr/journal> |
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hal-00416014v1
Article dans une revue
Luc Pronzato. Penalized optimal designs for dose-finding Journal of Statistical Planning and Inference, Elsevier, 2010, 140 (1), pp.283-296. <10.1016/j.jspi.2009.07.012> |
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hal-00416063v1
Article dans une revue
Luc Pronzato. On the sequential construction of optimum bounded designs Journal of Statistical Planning and Inference, Elsevier, 2006, 136, pp.2783 - 2804. <10.1016/j.jspi.2004.10.020> |
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hal-01001706v1
Article dans une revue
Luc Pronzato, Anatoly Zhigljavsky. Algorithmic construction of optimal designs on compact sets for concave and differentiable criteria Journal of Statistical Planning and Inference, Elsevier, 2014, 154, pp.141-155. <10.1016/j.jspi.2014.04.005> |
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hal-00170658v1
Communication dans un congrès
Régis Bettinger, Pascal Duchêne, Luc Pronzato, Eric Thierry. Maximisation séquentielle de la diversité des sorties d'un système boîte noire à l'aide de krigeage 39èmes journées de statistique, Jun 2007, Angers, France. 6 p., 2007 |
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hal-00290418v1
Communication dans un congrès
Régis Bettinger, Pascal Duchêne, Luc Pronzato, Eric Thierry. Design of experiments for response diversity 6th International Conference on Inverse Problems in Engineering: Theory and Practice (ICIPE 2008), Jun 2008, Dourdan, France. 135, 2008 |
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hal-00407826v1
Communication dans un congrès
Régis Bettinger, Pascal Duchêne, Luc Pronzato. A Sequential Design Method for the Inversion of an Unknown System IFAC. 15th IFAC Symposium on System Identification, Jun 2009, Saint Malo, France. pp.1298-1303, 2009 |
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hal-00685876v1
Article dans une revue
Luc Pronzato, Werner Müller. Design of computer experiments: space filling and beyond Statistics and Computing, Springer Verlag (Germany), 2012, 22 (3), pp.681-701. <10.1007/s11222-011-9242-3> |
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hal-00416008v1
Article dans une revue
Luc Pronzato. Asymptotic properties of nonlinear estimates in stochastic models with finite design space Statistics and Probability Letters, Elsevier, 2009, 79, pp.2307-2313. <10.1016/j.spl.2009.07.025> |
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hal-00416062v1
Article dans une revue
Andrej Pazman, Luc Pronzato. On the irregular behavior of LS estimators for asymptotically singular designs Statistics and Probability Letters, Elsevier, 2006, 76, pp.1089-1096. <10.1016/j.spl.2005.12.010> |
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hal-00802972v2
Article dans une revue
Luc Pronzato. A delimitation of the support of optimal designs for Kiefer's phi_p-class of criteria Statistics and Probability Letters, Elsevier, 2013, 83 (12), pp.2721-2728. <10.1016/j.spl.2013.09.009> |
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hal-00158649v1
Article dans une revue
Radoslav Harman, Luc Pronzato. Improvements on removing non-optimal support points in D-optimum design algorithms Statistics and Probability Letters, Elsevier, 2007, 77, pp.90-94 |
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hal-01308116v1
Article dans une revue
Luc Pronzato, Henry Wynn, Anatoly Zhigljavsky. Extremal measures maximizing functionals based on simplicial volumes Statistical Papers, Springer Verlag, 2016, <10.1007/s00362-016-0767-6> |
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hal-01002348v1
Article dans une revue
Luc Pronzato, Eric Thierry. Sequential experimental design and response optimisation Statistical Methods and Applications, Springer Verlag, 2003, 11, pp.277-292 |
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hal-01001646v1
Article dans une revue
Werner Müller, Luc Pronzato, Helmut Waldl. Beyond space-filling: An illustrative case Procedia Environmental Sciences, Elsevier, 2011, 7, pp.14-19. <10.1016/j.proenv.2011.07.004> |
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hal-01308295v1
Communication dans un congrès
Bertrand Gauthier, Luc Pronzato, João Rendas. An alternative for the computation of IMSE optimal designs of experiments 7th Int. Workshop on Simulation, May 2013, Rimini, Italy. 2013 |
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hal-01308299v1
Communication dans un congrès
Werner Müller, Helmut Waldl, Luc Pronzato, João Rendas. Efficient prediction designs for random fields SAMO'2013 (7th Int. Conf. on Sensitivity Analysis of Model Output), Jul 2013, Nice, France. 2013 |
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hal-01308303v1
Communication dans un congrès
Luc Pronzato. Covariate-adjusted response-adaptive penalized optimal design ERCIM’2013 (6th Int. Conf. of the ERCIM WG on Computational and Methodological Statistics), Dec 2013, Londres, United Kingdom. 2013 |
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hal-01308312v1
Communication dans un congrès
Asya Metelkina, Luc Pronzato. Asymptotic properties of certain compromise-optimal covariate-adjusted allocations in clinical trials ERCIM’2015 (8th Int. Conf. of the ERCIM WG on Computational and Methodological Statistics), Dec 2015, Londres, United Kingdom. 2015 |
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hal-01308316v1
Communication dans un congrès
Luc Pronzato. A measure of dispersion based on average exponentiated volumes, with application in experimental design ProbaStat'2015, Jun 2015, Smolenice, Slovakia. 2015 |
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hal-01308278v1
Communication dans un congrès
Luc Pronzato. Penalized optimal design for dose finding Workshop on Design of experiments for dose ranging studies, Aug 2011, Cambridge, United Kingdom. 2011 |
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hal-01308226v1
Communication dans un congrès
Youssef Bennani, Luc Pronzato, João Rendas. Nonparametric density estimation with region-censored data EUSIPCO, Sep 2014, Lisbonne, Portugal. 5 p., Proc. 22nd European Signal Processing Conference |
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hal-01308242v1
Communication dans un congrès
Youssef Bennani, Luc Pronzato, João Rendas. Most likely maximum entropy for population analysis: a case study in decompression sickness prevention A. Mohammad-Djafari, F. Barbaresco. MAXENT' 2014, Sep 2014, Amboise, France. AIP, 1641, pp.414-421, 2014, Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2014), AIP Proceedings |
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hal-01308248v1
Communication dans un congrès
Youssef Bennani, Luc Pronzato, João Rendas. Maximum de vraisemblance non-paramétrique avec régions de censure. Application à un modèle biophysique de décompression 46èmes Journées de Statistiques, Jun 2014, Rennes, France. 6 p., 2014 |
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hal-01308263v1
Chapitre d'ouvrage
Werner Müller, Luc Pronzato, Helmut Waldl. Relations between designs for prediction and estimation in random fields E. Porcu, J.–M. Montero, M. Schlather. Advances and Challenges in Space-time Modelling of Natural Events, 207, Springer, 125-139, Chap. 6 2012, Lecture Notes in Statistics, <10.1007/978-3-642-17086- 7_6> |
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hal-01308270v1
Communication dans un congrès
Luc Pronzato. Plans exploratoires pour expériences numériques 43ème Journées de Statistiques, May 2011, Tunis, Tunisie |
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hal-01308306v1
Communication dans un congrès
Luc Pronzato. Bayesian local kriging ENBIS’2014 (14th Annual Conf. of the European Network for Business and Industrial Statistics), Sep 2014, Linz, Austria. 2014 |
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hal-01280355v1
Communication dans un congrès
Bertrand Gauthier, Luc Pronzato. Optimal Design for Prediction in Random Field Models via Covariance Kernel Expansions J. Kunert, Ch.H. Müller, A.C. Atkinson. MODA 11, Jun 2016, Hamminkeln-Dingden, Germany. Springer, mODa'11 - Advances in Model-Oriented Design and Analysis, Proceedings of the 11th Int. Workshop |
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hal-01308271v1
Communication dans un congrès
Luc Pronzato. Adaptive design and control Workshop on Experiments for processes with time or space dynamics, Jul 2011, Cambridge, United Kingdom |
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hal-01086442v1
Pré-publication, Document de travail
Luc Pronzato, Henry Wynn, Anatoly Zhigljavsky. An extended Generalised Variance, with Applications 2014 |
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