L. Pronzato, E. Walter, A. Venot and J.-F. Lebruchec. "A general purpose global optimizer: implementation and applications", Mathematics and Computers in Simulation, 26: 412-422, 1984.
L. Pronzato and E. Walter. "Robust experiment design via stochastic approximation", Mathematical Biosciences, 75: 103-120, 1985.
A. Venot, L. Pronzato, E. Walter and J.-F. Lebruchec. "A distribution-free criterion for robust identification, with applications in system modelling and image processing", Automatica, 22(1): 105-109, 1986.
E. Walter and L. Pronzato. "Optimal experiment design for nonlinear models subject to large prior uncertainties", Modelling Methodology Forum of the Amer. J. of Physiology, 253: 530-534, 1987.
L. Pronzato and E. Walter. "Robust experiment design via maximin optimization", Mathematical Biosciences, 89: 161-176, 1988.
L. Pronzato and E. Walter. "Experiment design in a bounded-error context: comparison with D-optimality", Automatica, 25(3): 383-391, 1989.
E. Walter, L. Pronzato and A. Venot. "Theoretical properties of sign change criteria for robust off-line estimation", Automatica, 25(6): 949-952, 1989.
E. Walter and L. Pronzato. "Qualitative and quantitative experiment design for phenomenological models - a survey", Automatica, 26(2): 195-213, 1990.
L. Pronzato and E. Walter. "Experiment design for bounded error models", Mathematics and Computers in Simulation, 32(5-6): 571-584, 1990.
A. Pàzman and L. Pronzato. "Nonlinear experimental design based on the distribution of estimators", J. of Statistical Planning and Inference, 33: 385-402, 1992.
L. Pronzato and E. Walter. "Experimental design for estimating the optimum point in a response surface", Acta Applicandae Mathematicae , 33: 45-68, 1993.
L. Pronzato and E. Walter. "Minimal-volume ellipsoids", Int. J. of Adaptive Control and Signal Processing, 8:15-30, 1994.
L. Pronzato and A. Pàzman. "Second-order approximation of the entropy in nonlinear least-squares estimation", Kybernetika, 30(2): 187-198, 1994 (Erratum, 32(1):104, 1996).
C. Kulcsár, L. Pronzato and E. Walter. "Optimal experimental design and therapeutic drug monitoring", Int. J. of Biomedical Computing, 36: 95-101, 1994.
L. Pronzato and E. Walter. "Minimum-volume ellipsoids containing compact sets. Application to parameter bounding", Automatica, 30(11): 1731-1739, 1994.
A. Venot, L. Pronzato and E. Walter. "Comments about the coincident bit counting (CBC) criterion for image registration", IEEE Trans. on Medical Imaging, 13(3): 565-566, 1994.
A. Pàzman and L. Pronzato. "A Dirac-function method for densities of nonlinear statistics and for marginal densities in nonlinear regression", Statistics & Probability Letters, 26: 159-167, 1996.
E. Walter, L. Pronzato, Y. Soong, M. Otarod and J. Happel. "Modelling transcient tracing in plug-flow reactors, a case study", Industrial and Engineering Chemistry Research, 34: 483-487, 1995.
F. Berthier, J.-P. Diard, C. Montella, L. Pronzato and E. Walter. "Choice of experimental methods induced by structural properties of mechanisms", J. of Electroanalytical Chemistry, 399: 1-6, 1995.
L. Pronzato, H.P. Wynn and A.A. Zhigljavsky. "Dynamic systems in search and optimisation", CWI Quarterly, 8(3): 201-236, 1995.
L. Pronzato, C. Kulcsár and E. Walter. "An actively adaptive control policy for linear models", IEEE Trans. on Automatic Control, 41(6): 855-858, 1996.
F. Berthier, J.-P. Diard, L. Pronzato and E. Walter. "Identifiability and distinguishability concepts in electrochemistry", Automatica, 32(7): 973-984, 1996.
E. Walter and L. Pronzato. "On the identifiability and distinguishability of nonlinear parametric models", Mathematics and Computers in Simulation, 42: 125-134, 1996.
L. Pronzato, H.P. Wynn and A.A. Zhigljavsky. "A generalized Golden-Section algorithm for line search", IMA J. of Mathematical Control and Information, 15: 185-214, 1998.
L. Pronzato, H.P. Wynn and A.A. Zhigljavsky. "Stochastic analysis of convergence via dynamic representation for a class of line-search algorithms", Combinatorics, Probability and Computing, 6: 205-229, 1997.
C. Kulcsár, L. Pronzato and E. Walter. "Dual control of linearly parameterized models via prediction of posterior densities", European J. of Control, 2(2): 135-143, 1996.
M. Otarod, J. Happel, Y. Soong, E. Walter and L. Pronzato. "Transcient isotopic tracing of nickel catalyst deactivation in a plug-flow reactor", Applied Catalyst, 151: 97-107, 1997.
M.-J. Rendas, J.-Y. Tigli, L. Pronzato, M.-C. Thomas, M. Ribo, J. Santos-Victor, I.M.G. Lourtie and A. Bernardino. "Uncertainty modelling and perceptual guiding for safe operation in unknown environments", Int. J. on Intelligent Control Systems, 2(2): 235-285, 1998.
L. Pronzato, H.P. Wynn and A.A. Zhigljavsky. "Finite sample behaviour of an ergodically fast line-search algorithm", Computational Optimization and Applications, 14: 75-86, 1999.
L. Pronzato. "On a property of the expected value of a determinant", Statistics & Probability Letters, 39: 161-165, 1998.
J.-P. Costa, L. Pronzato and E. Thierry. "Nonlinear prediction by kriging, with application to noise cancellation", Signal Processing, 80: 553-566, 2000.
L. Pronzato, H.P. Wynn and A.A. Zhigljavsky. "Analysis of performance of symmetric second-order line search algorithms through continued fractions" , IMA J. of Mathematical Control and Information, 18: 281-296, 2001.
L. Pronzato. "Optimal and asymptotically optimal decision rules for sequential screening and resource allocation" , IEEE Trans. on Automatic Control, 46(5): 687-697, 2001.
H.-F. Raynaud, L. Pronzato and E. Walter. "Robust identification and control based on ellipsoidal parametric uncertainty descriptions", European J. of Control, 6(3): 245-257, 2000.
L. Pronzato. "Adaptive optimization and D-optimum experimental design", Annals of Statistics, 28(6): 1743-1761, 2000.
L. Pronzato and E. Walter. "Eliminating suboptimal local minimizers in nonlinear parameter estimation", Technometrics, 43(4): 434-442, 2001.
L. Pronzato and A. Pàzman. "Using densities of estimators to compare pharmacokinetic experiments", Computers in Biology and Medicine, 31: 179-195, 2001.
L. Pronzato, H.P. Wynn and A.A. Zhigljavsky. "Renormalised steepest descent in Hilbert space converges to a two-point attractor", Acta Applicandae Mathematicae, 67: 1-18, 2001.
L. Pronzato. "Information matrices with random regressors. Application to experimental design", J. of Statistical Planning and Inference, 108: 189-200, 2002.
S. Hadjihassan, A. Henkel, E. Walter, S. Delage, L. Pronzato and I. Vuchkov. "Model-based approach to robust design, with application to microwave power transistors", IEEE Trans. on Circuits and Systems, 49(1): 76-80, 2002.
L. Pronzato and E. Thierry. "Sequential experimental design and response optimisation", Statistical Methods and Applications, 11: 277-292, 2003. (hal-01002348)
L. Pronzato. "Removing non-optimal support points in D-optimum design algorithms", Statistics & Probability Letters, 63: 223-228, 2003.
L. Pronzato. "A minimax equivalence theorem for optimum bounded design measures", Statistics & Probability Letters, 68: 325-331, 2004.
L. Pronzato. "On the sequential construction of optimum bounded designs", J. of Statistical Planning and Inference, 136: 2783-2804, 2006. (hal-00416063/fr/)
L. Pronzato, H.P. Wynn and A.A. Zhigljavsky. "Kantorovich-type inequalities for operators via D-optimal design theory", Linear Algebra and its Applications (Special Issue on Linear Algebra and Statistics), 410: 160-169, 2005.
L. Pronzato, H.P. Wynn and A.A. Zhigljavsky. "Asymptotic behaviour of a family of gradient algorithms in R^d and Hilbert spaces", Mathematical Programming, A107: 409-438, 2006. (hal-00259553/fr/)
E. Wolsztynski, E. Thierry and L. Pronzato. "Minimum entropy estimation in semi parametric models", Signal Processing, 85: 937-949, 2005.
A. Pàzman and L. Pronzato. "On the irregular behavior of LS estimators for Asymptotically singular designs", Statistics & Probability Letters, 76: 1089-1096, 2006. (hal-00416062/fr/)
R. Harman and L. Pronzato. "Improvements on removing non-optimal support points in D-optimum design algorithms", Statistics & Probability Letters, 77: 90-94, 2007. (hal-00158649/fr/)
L. Pronzato. "Optimal experimental design and some related control problems", Automatica, 44: 303-325, 2008. (hal-00259532/fr/)
N. Leonenko, L. Pronzato and V. Savani. "A class of Rényi information estimators for multidimensional densities", Annals of Statistics, 36(5): 2153-2182, 2008. (hal-00331300/fr/, correction in AS, 38(6):3837-3838, 2010)
L. Pronzato. "One-step ahead adaptive D-optimal design on a finite design space is asymptotically optimal", Metrika, 71(2): 219-238, 2010. (DOI: 10.1007/s00184-008-0227-y, hal-00396975/fr/)
L. Pronzato. "Penalized optimal designs for dose-finding", J. of Statistical Planning and Inference, 140: 283-296, 2010. (DOI: 10.1016/j.jspi.2009.07.012, hal-00416014/fr/)
L. Pronzato. "Asymptotic properties of nonlinear estimates in stochastic models with finite design space", Statistics & Probability Letters, 79: 2307-2313, 2009. (DOI: 10.1016/j.spl.2009.07.025, hal-00416008/fr/)
L. Pronzato and A.A. Zhigljavsky. "Gradient algorithms for quadratic optimization with fast convergence rates", Computational Optimization and Applications, 50(3): 597-617, 2011 (DOI 10.1007/s10589-010-9319-5)
W.G. Müller, L. Pronzato and H. Waldl. "Beyond space-filling: An illustrative case", Procedia Environmental Sciences, 7: 14-19, 2011 (DOI 10.1016/j.proenv.2011.07.004)
L. Pronzato. "Discussion of the paper "Optimum design of experiments for statistical inference " by S.G. Gilmour and L.A. Trinca", J. of the Royal Statistical Society, Series C (Applied Statistics), 61(3): 390, 2012.
L. Pronzato and W.G. Müller. "Design of computer experiments: space filling and beyond". Statistics and Computing, 22: 681-701, 2012 (DOI 10.1007/s11222-011-9242-3, hal-00685876)
A.A. Zhigljavsky, L. Pronzato and E. Bukina. "An asymptotically optimal gradient algorithm for quadratic optimization with low computational cost", Optimization Letters, 7(6): 1047-1059, 2013 (published on line 17/05/2012, DOI 10.1007/s11590-012-0491-7, hal-00630982)
L. Pronzato, A.A. Zhigljavsky and E. Bukina. "Estimation of spectral bounds in gradient algorithms", Acta Applicandae Mathematicae, 127(1): 117-136, 2013 (DOI 10.1007/s10440-012-9794-z, hal-01001685)
L. Pronzato. "A delimitation of the support of optimal designs for Kiefer's Phi_p-class of criteria", Statistics & Probability Letters, 83(12): 2721-2728, 2013 (DOI 10.1016/j.spl.2013.09.009, hal-00802972, arXiv:1303.5046)
L. Pronzato and A.A. Zhigljavsky. “Algorithmic construction of optimal designs on compact sets for concave and differentiable criteria”, J. of Statistical Planning and Inference, 154:141-155, 2014 (DOI 10.1016/j.jspi.2014.04.005, hal-01001706)
A. Pàzman and L. Pronzato. “Optimum design accounting for the global nonlinear behaviour of the model”, Annals of Statistics, 42(4):1426-1451, 2014 (DOI 10.1214/14-AOS1232, hal-00875302, arXiv:1310.5559)
B. Gauthier and L. Pronzato. "Spectral approximation of the IMSE criterion for optimal designs in kernel-based interpolation models", SIAM/ASA J. Uncertainty Quantification, 2:805-825, 2014 (DOI 10.1137/130928534, hal-00913466/)
B. Gauthier and L. Pronzato. "Approximation of IMSE-optimal designs via quadrature rules and spectral decomposition", Communications in Statistics – Simulation and Computation, 45(5):1600-1612, 2016 (DOI 10.1080/03610918.2014.972518, hal-00936681v3/)
Y. Bennani, Luc Pronzato and M.-J. Rendas. “Most likely maximum entropy for population analysis with region-censured data”, Entropy, 17(6):3963-3988, 2015 (DOI 10.3390/e17063963)
W.G. Müller, L. Pronzato, M.-J. Rendas and H. Waldl. “Efficient prediction designs for random fields (discussion paper)”, Applied Stochastic Models in Business and Industry, 31(2):178-194 (+ discussion pages 195-203), 2015 (arXiv:1305.3104)
L. Pronzato, H.P. Wynn and A.A. Zhigljavsky. “Extended generalised variances, with applications", Bernoulli, 23(4A):2617-2642, 2017 (arXiv:1411.6428, hal-01308092)
L. Pronzato, H.P. Wynn and A.A. Zhigljavsky. “Extremal measures maximizing functionals based on simplicial volumes”, Statistical Papers, 57(4):1059-1075, 2016 (hal-01308116)
L. Pronzato and M.-J. Rendas. “Bayesian Local Kriging”, Technometrics, 59(3):293-304, 2017 (http://www.tandfonline.com/doi/full/10.1080/00401706.2016.1214179, hal-0109346)
A. Metelkina and L. Pronzato. "Information-regret compromise in covariate-adaptive treatment allocation”, Annals of Statistics, 45(5):2046-2073, 2017 (http://dx.doi.org/10.1214/16-AOS1518, hal-01246252)
B. Gauthier and L. Pronzato. "Convex Relaxation for IMSE optimal design in random-field models", Computational Statistics and Data Analysis, 113:375-394, 2017 (hal-01246483, https://doi.org/10.1016/j.csda.2016.10.018)
L. Pronzato. "On the elimination of inessential points in the smallest enclosing ball problem", Optimization Methods & Software, 34(2):225-247, 2019 (https://www.tandfonline.com/doi/abs/10.1080/10556788.2017.1359266?journalCode=goms20, hal-01863587)
L. Pronzato and A.A. Zhigljavsky. "Measures minimizing regularized dispersion", J. of Scientific Computing, 78(3):1550-1570, 2019 (hal-01864088, https://link.springer.com/article/10.1007%2Fs10915-018-0817-4)
L. Pronzato. "Sensitivity analysis via Karhunen-Loève expansion of a random field model: estimation of Sobol' indices and experimental design", Reliability Engineering and System Safety, 187:93-109, 2019 (hal-01545604v2, https://doi.org/10.1016/j.ress.2018.01.010)
L. Pronzato, H.P. Wynn and A.A. Zhigljavsky. "Simplicial variances, potentials and Mahalanobis distances", J. of Multivariate Analysis, 168:276-289,
2018 (hal-1863605, https://www.sciencedirect.com/science/article/pii/S0047259X17305316)
L. Pronzato and A.A. Zhigljavsky. "Bayesian quadrature, energy minimization, and space-filling design", SIAM/ASA J. Uncertainty Quantification, 8(3): 959-1011, 2020 (hal-01864076v3, arXiv:1808.10722v1)
L. Pronzato, H.P. Wynn and A.A. Zhigljavsky. "Bregman divergences based on optimal design criteria and simplicial measures of dispersion", Statistical Papers, 60(2):195-214, 2019 (hal-01866846)
L. Pronzato and A.A. Zhigljavsky. "Minimum-energy measures for singular kernels", J. of Computational and Applied Mathematics, 382: 113089 (16 pages), 2021 (hal-02495643v2)
L. Pronzato and H. Wang. "Sequential online subsampling for thinning experimental designs", J. of Statistical Planning and Inference, 212:169-193, 2021 (hal-02527330, arXiv:2004.00792)
L. Pronzato and G. Sagnol. "Removing inessential points in c- and A-optimal design", J. of Statistical Planning and Inference, 213: 233-252, 2021 (hal-02868664v1)
A. Nogales Gómez, L. Pronzato and M.-J. 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 (hal-02987983, arXiv:2106.05833, springer link)
L. Pronzato. "Performance analysis of greedy algorithms for minimising a Maximum Mean Discrepancy", Statistics and Computing, 33(14), 2023, doi.org/10.1007/s11222-022-10184-1 (hal-03114891, arXiv:2101.07564)
L. Pronzato and A.A. Zhigljavsky. "Quasi-uniform designs with asymptotically optimal and near-optimal uniformity constant", J. of Approximation Theory, 294, 2023, doi.org/10.1016/j.jat.2023.105931 (hal-03494864, arXiv:2112.10401)
L. Pronzato and M.-J. Rendas. "Validation of Machine Learning Prediction Models", New England J. of Statistics in Data Science, 1(3):394-414, 2023, doi.org/10.51387/23-NEJSDS50 (hal-03818234)
E. Yousefi, L. Pronzato, M. Hainy, W.G. Müller and H.P. Wynn. "Discrimination between Gaussian process models: active learning and static constructions", Statistical Papers, 64:1275–1304, 2023 (doi.org/10.1007/s00362-023-01436-x, hal-03909053)
L. Pronzato and A.A. Zhigljavsky. "BLUE against OLSE in the location model: energy minimization and asymptotic considerations", Statistical Papers, 64:1187–1208, 2023 (doi.org/10.1007/s00362-023-01423-2, hal-03909349)
G. Sagnol and L. Pronzato. "Fast screening rules for optimal design via quadratic lasso reformulation", J. of Machine Learning Research, 24(307):1-32, 2023 (arXiv:2310.08939, hal-04244352)
L. Pronzato and M.-J. Rendas. "Weighted leave-one-out cross validation", SIAM/ASA J. Uncertainty Quantification, 12(4):1213-1239, 2024 (https://doi.org/10.1137/23M1615917, hal-04689100, arXiv:2505.19737)