2017
Asya Metelkina, Luc Pronzato
Information-regret compromise in covariate-adaptive treatment allocation.
Annals of Statistics, Institute of Mathematical Statistics, 2017, 45 (5), pp.2046 - 2073. 〈10.1214/16-AOS1518〉,
Journal articles
hal-01246252

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〉,
Journal articles
hal-01496712

Luc Pronzato
Sensitivity analysis via Karhunen-Loève expansion of a random field model: estimation of Sobol' indices and experimental design.
2017,
Preprints, Working Papers, ...
hal-01545604

2016
Bertrand Gauthier, Luc Pronzato
Approximation of IMSE-optimal designs via quadrature rules and spectral decomposition.
Communications in Statistics - Simulation and Computation, Taylor & Francis, 2016, 7th International Workshop on Simulation, 45 (5), pp.1600-1612. 〈http://www.tandfonline.com〉,
Journal articles
hal-00936681

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〉,
Journal articles
hal-01308116

Luc Pronzato, Henry Wynn, Anatoly Zhigljavsky
Extended generalised variances, with applications.
Bernoulli, Bernoulli Society for Mathematical Statistics and Probability, 2016,
Journal articles
hal-01308092

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,
Conference papers
hal-01280355

2015
Youssef Bennani, Luc Pronzato, João Rendas
Most likely maximum entropy for population analysis with region-censured data.
Entropy, MDPI, 2015, 17 (6), pp.3963-3988. 〈10.3390/e17063963〉,
Journal articles
hal-01308165

Werner Müller, Luc Pronzato, João Rendas, Helmut Waldl
Efficient prediction designs for random fields (discussion paper).
Applied Stochastic Models in Business and Industry, Wiley, 2015, 31 (2), pp.178-194,
Journal articles
hal-01308151

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,
Conference papers
hal-01308312

Luc Pronzato
A measure of dispersion based on average exponentiated volumes, with application in experimental design.
ProbaStat'2015, Jun 2015, Smolenice, Slovakia. 2015,
Conference papers
hal-01308316

2014
Bertrand Gauthier, Luc Pronzato
Spectral approximation of the IMSE criterion for optimal designs in kernel-based interpolation models..
SIAM/ASA Journal on Uncertainty Quantification, ASA, American Statistical Association, 2014, 2, pp.805-825. 〈http://epubs.siam.org/doi/abs/10.1137/130928534〉,
Journal articles
hal-00913466

Andrej Pazman, Luc Pronzato
Optimum design accounting for the global nonlinear behavior of the model.
The Annals of Statistics, IMS, 2014, 42 (4), pp.1426-1451. 〈10.1214/14-AOS1232〉,
Journal articles
hal-00875302

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〉,
Journal articles
hal-01001706

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,
Conference papers
hal-01308248

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,
Conference papers
hal-01308242

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,
Conference papers
hal-01308226

Luc Pronzato
Bayesian local kriging.
ENBIS’2014 (14th Annual Conf. of the European Network for Business and Industrial Statistics), Sep 2014, Linz, Austria. 2014,
Conference papers
hal-01308306

Luc Pronzato, Joaõ Rendas
Bayesian Local Kriging.
Parts of this work have been presented at the ENBIS-14 Conference (21 – 25 Sept. 2014; Johannes.. 2014,
Preprints, Working Papers, ...
hal-01093466

Luc Pronzato, Henry Wynn, Anatoly Zhigljavsky
An extended Generalised Variance, with Applications.
2014,
Preprints, Working Papers, ...
hal-01086442

2013
Luc Pronzato, Anatoly Zhigljavsky, Elena Bukina
Estimation of spectral bounds in gradient algorithms.
Acta Applicandae Mathematicae, Springer Verlag, 2013, 127, pp.117-136. 〈10.1007/s10440-012-9794-z〉,
Journal articles
hal-01001685

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〉,
Journal articles
hal-00802972

Anatoly Zhigljavsky, Luc Pronzato, Elena Bukina
An asymptotically optimal gradient algorithm for quadratic optimization with low computational cost.
Optimization Letters, Springer Verlag, 2013, 7 (6), pp.1047-1059. 〈10.1007/s11590-012-0491-7〉,
Journal articles
hal-00630982

Jean-Marc Fedou, Menez Gilles, Luc Pronzato, João Rendas
Revisiting Morris method : a polynomial algebra for design definition with increased efficiency and observability.
SAMO’2013 (7th Int. Conf. on Sensitivity Analysis of Model Output), Jul 2013, Nice, France. 2013,
Conference papers
hal-01308301

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,
Conference papers
hal-01308295

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,
Conference papers
hal-01308299

Andrej Pazman, Luc Pronzato
Extended optimality criteria for optimum design in nonlinear regression.
D. Ucinski, A.C. Atkinson, M. Patan. mODa 10, Jun 2013, Lagow Lubuski, Poland. Springer, pp.195-202, 2013, Contributions to Statistics. 〈10.1007/978-3-319-00218-7_23〉,
Conference papers
hal-00934877

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,
Conference papers
hal-01308303

Luc Pronzato, Andrej Pazman
Design of Experiments in Nonlinear Models. Asymptotic Normality, Optimality Criteria and Small-Sample Properties.
Springer, pp.399, 2013, Lecture Notes in Statistics, 978-1-4614-6362-7. 〈10.1007/978-1-4614-6363-4〉,
Books
hal-00879984

2012
Luc Pronzato
Discussion of the paper ``Optimum design of experiments for statistical inference '' by S.G. Gilmour and L.A. Trinca.
Journal of the Royal Statistical Society: Series C Applied Statistics, Wiley, 2012, 61 (3), pp.390,
Journal articles
hal-01308182

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〉,
Journal articles
hal-00685876

Jean-Marc Fedou, Menez Gilles, Luc Pronzato, João Rendas
OAT designs for mixed effects.
ERCIM 2012 (5th Int. Conf. of the ERCIM WG on Computing & Statistics), Dec 2012, Oviedo, Spain. 2012,
Conference papers
hal-01308287

Gilles Menez, Jean-Marc Fedou, Luc Pronzato, João Rendas
OAT designs for mixed effects.
Statistische Woche 2012 (German Statistical Week), Sep 2012, Vienne, Austria. 2012,
Conference papers
hal-01308292

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〉,
Book sections
hal-01308263

2011
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〉,
Journal articles
hal-01001646

Luc Pronzato, Anatoly Zhigljavsky
Gradient algorithms for quadratic optimization with fast convergence rates.
Computational Optimization and Applications, Springer Verlag, 2011, 50 (3), pp.597-617. 〈10.1007/s10589-010-9319-5〉,
Journal articles
hal-01308181

Luc Pronzato
Penalized optimal design for dose finding.
Workshop on Design of experiments for dose ranging studies, Aug 2011, Cambridge, United Kingdom. 2011,
Conference papers
hal-01308278

Luc Pronzato
Adaptive design and control.
Workshop on Experiments for processes with time or space dynamics, Jul 2011, Cambridge, United Kingdom,
Conference papers
hal-01308271

Luc Pronzato
Plans exploratoires pour expériences numériques.
43ème Journées de Statistiques, May 2011, Tunis, Tunisie,
Conference papers
hal-01308270

2010
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〉,
Journal articles
hal-00416014

Luc Pronzato
One-step ahead adaptive D-optimal design on a finite design space is asymptotically optimal.
Metrika, Springer Verlag, 2010, 71 (2), pp.219-238. 〈10.1007/s00184-008-0227-y〉,
Journal articles
hal-00396975

Luc Pronzato
Asymptotic properties of adaptive penalized optimal designs over a finite space.
A. Giovagnoli; A.C. Atkinson ; B. Torsney ; C. May. mODa 9 - 9th International Workshop in Model-Oriented Design and Analysis, Jun 2010, Bertinoro, Italy. Physica-Verlag (Springer-Verlag), pp.165-172, 2010, Contributions to Statistics. 〈10.1007/978-3-7908-2410-0_22〉,
Conference papers
hal-00504632

2009
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〉,
Journal articles
hal-00416008

Luc Pronzato
On the regularization of singular c-optimal designs.
Mathematica Slovaca, 2009, 59 (5), pp.611-626,
Journal articles
hal-00416002

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,
Conference papers
hal-00407826

Luc Pronzato
Asymptotic Properties of Nonlinear Least Squares Estimates in Stochastic Regression Models Over a Finite Design Space. Application to Self-Tuning Optimisation.
IFAC. 15th IFAC Symposium on System Identification, Jun 2009, Saint Malo, France. pp.156-161, 2009,
Conference papers
hal-00407817

Luc Pronzato
Penalized and response-adaptive optimal designs. Application to dose finding.
IWSM 2009 (Second Int. Workshop in Sequential Methodologies), Jun 2009, Troyes, France. pp.CDrom, 2009,
Conference papers
hal-00397020

Rebecca Haycroft, Luc Pronzato, Henry Wynn, Anatoly Zhigljavsky
Studying convergence of gradient algorithms via optimal experimental design theory.
Luc Pronzato, Anatoly Zhigljavsky. Optimal Design and Related Areas in Optimization and Statistics, Springer, pp.13-37, 2009, Springer Optimization and its Applications, 〈10.1007/978-0-387-79936-0_2〉,
Book sections
hal-00358757

Andrej Pazman, Luc Pronzato
Asymptotic normality of nonlinear least squares under singular experimental designs.
Luc Pronzato, Anatoly Zhigljavsky. Optimal Design and Related Areas in Optimization and Statistics, Springer, pp.167-191, 2009, Springer Optimization and its Applications, 〈10.1007/978-0-387-79936-0_8〉,
Book sections
hal-00358761

Luc Pronzato, Henry Wynn, Anatoly Zhigljavsky
A dynamical-system analysis of the optimum s-gradient algorithm.
Luc Pronzato, Anatoly Zhigljavsky. Optimal Design and Related Areas in Optimization and Statistics, Springer Verlag, pp.39-80, 2009, Springer Optimization and its Applications, 〈10.1007/978-0-387-79936-0_3〉,
Book sections
hal-00358755

Luc Pronzato, Anatoly Zhigljavsky
Optimal Design and Related Areas in Optimization and Statistics.
Springer, pp.224, 2009, 〈10.1007/978-0-387-79936-0〉,
Directions of work or proceedings
hal-00359217

2008
Nikolai Leonenko, Luc Pronzato, Vippal Savani
A CLASS OF RENYI INFORMATION ESTIMATORS FOR MULTIDIMENSIONAL DENSITIES.
The Annals of Statistics, IMS, 2008, 36 (5), pp.2153-2182. 〈10.1214/07-AOS539〉,
Journal articles
hal-00331300

Luc Pronzato
Optimal experimental design and some related control problems.
Automatica, Elsevier, 2008, 44, pp.303-325. 〈10.1016/j.automatica.2007.05.016〉,
Journal articles
hal-00259532

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,
Conference papers
hal-00290418

2007
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,
Journal articles
hal-00158649

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,
Conference papers
hal-00170658

Andrej Pazman, Luc Pronzato
Quantile and probability-level criteria for nonlinear experimental design.
J. Lopez-Fidalgo, J.M. Rodriguez-Diaz, B. Torsney. 8th Int. Workshop in Model-Oriented Design and Analysis, Jun 2007, Almagro, Spain. Physica-Verlag, pp.157-164, 2007,
Conference papers
hal-00170634

2006
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〉,
Journal articles
hal-00416062

Andrej Pazman, Luc Pronzato
Asymptotic criteria for designs in nonlinear regression with model errors.
Mathematica Slovaca, 2006, 56 (5), pp.543-553,
Journal articles
hal-00158853

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〉,
Journal articles
hal-00416063

Luc Pronzato
Sélection séquentielle de conditions expérimentales non contrôlées.
Journal Européen des Systèmes Automatisés (JESA), Lavoisier, 2006, 40 (2), pp.197-209,
Journal articles
hal-00259580

Luc Pronzato, Henry Wynn, Anatoly Zhigljavsky
Asymptotic behaviour of a family of gradient algorithms in R^d and Hilbert spaces.
Mathematical Programming, Series A, Springer, 2006, 107, pp.409-438. 〈10.1007/s10107-005-0602-7〉,
Journal articles
hal-00259553

Rebecca Haycroft, Luc Pronzato, Henry Wynn, Anatoly Zhigljavsky
Optimal experimental design and quadratic optimization.
ProbaStat 2006, Jun 2006, Smolenice, Slovakia. 39, pp.115-123, 2008,
Conference papers
hal-00322795

Nikolai Leonenko, Luc Pronzato, Vippal Savani
Estimation of entropies and divergences via nearest neighbors.
ProbaStat 2006, Jun 2006, Smolenice, Slovakia. 39, pp.265-273, 2008,
Conference papers
hal-00322783

2003
Luc Pronzato, Eric Thierry
Sequential experimental design and response optimisation.
Statistical Methods and Applications, Springer Verlag, 2003, 11, pp.277-292,
Journal articles
hal-01002348

1996
Luc Pronzato, Caroline Kulcsar, Eric Walter
An actively adaptive control policy based on the prediction of posterior densities.
Tatra Mountains Mathematical Publications, 1996, 1, pp.297-304,
Journal articles
hal-01592108

Luc Pronzato, Caroline Kulcsar, Eric Walter
An actively adaptive control policy for linear models.
IEEE Transactions on Automatic Control, Institute of Electrical and Electronics Engineers, 1996, 41 (6), pp. 855 - 858 〈10.1109/9.506238 〉,
Journal articles
hal-01592004