PATILEA Valentin

• "An information criterion for detecting periodicities in functional time series" (with R. Sagawa, Y. Liu); 

• "Rate accelerated inference for integrals of multivariate random functions" (with S. Wang); arxiv.org:2412.08533;

• "Adaptive prediction for functional time series" (with H. Maissoro, M. Vimond); 

• "Locally Adaptive Online Functional Data Analysis" (with J. Racine); (working paper here)

• "Adaptive estimation for weakly dependent functional times series" (with H. Maissoro, M. Vimond); arXiv:2403.13706;

• "Learning the regularity of multivariate functional data" (with O. Kassi, N. Klutchnikoff); arXiv:2307.14163v2;

• "Conditional Lifetimes: a nonparametric and recursive approach" (with D. Aurouet); (abstract here)

Articles 

• S. Wang, V. Patilea, N. Klutchnikoff (2025+) "Adaptive functional principal components analysis", Journal of the Royal Statistical Society Series B, forthcoming (arXiv:2306.16091).
• V. Patilea, F. Portier (2025+) "Density model checks via the lack-of-fitness", forthcoming (working paper version here)
• E. Musta, V. Patilea, I. Van Keilegom (2024+) "Regression estimation using surrogate responses obtained by presmoothing" Statistica Neerlandica, forthcoming (http://doi.org/10.1111/stan.12351).
• E. Musta, V. Patilea, I. Van Keilegom (2024) "A 2-step estimation procedure for semiparametric mixture cure models" Scandinavian Journal of Statistics, Vol. 51, No. 3, 987-1011.
• S. Golovkine, N. Klutchnikoff, V. Patilea (2024+) "Adaptive estimation of irregular mean and covariance functions", Bernoulli, forthcoming.
• V. Patilea,  H. Raïssi (2023+) "Powers correlation analysis of non-stationary illiquid assets", Journal of Financial Econometrics, forthcoming  (link here)
• S. Golovkine, N. Klutchnikoff, V. Patilea (2022) "Learning the smoothness of noisy curves with application to online curve estimation", Electronic Journal of Statistics, Vol. 16, No. 1, 1485-1560.
• Y. Berger, V. Patilea (2022) "A semi-parametric empirical likelihood approach for conditional estimating equations under endogenous selection", Econometrics & Statistics, vol. 24, Pages 151-163.
• S. Golovkine, N. Klutchnikoff, V. Patilea (2022) "Clustering multivariate functional data using unsupervised binary trees", Computational Statistics and Data Analysis, (temporary link) (arxiv:2012.05973)
• E. Musta, V. Patilea, I. Van Keilegom (2022) "A presmoothing approach for estimation in mixture cure models", Bernoulli, vol. 28(4), 2689-2715.
• M. Du Roy de Chaumaray, M. Marbac, V. Patilea (2021) "Wilks' theorem for semiparametric regressions with weakly dependent data", The Annals of Statistics, vol. 49(6), 3228-3254 (arxiv:2006.06350).
• K. Burke, V. Patilea (2021) "Penalized maximum likelihood for cure models", TEST, vol. 30, 693–712.
• M. Hristache, V. Patilea  (2021) "Equivalent models for observables under the assumption of missing at random", Econometrics & Statistics, vol. 20, 153-165.
• V. Patilea, I. Van Keilegom (2020) "A General Approach for Cure Models in Survival Analysis", The Annals of Statistics, vol. 48(4), 2323-2346.
• S. Maistre, V. Patilea (2020) "Testing for the significance of the functional covariates in regression models", Journal of Multivariate Analysis, vol. 179, forthcoming.
• V. Patilea, C. Sanchez-Sellero (2020) "Testing for Lack-of-Fit in Functional Regression Models Against General Alternatives", Journal of Statist. Planning and Inference, vol. 209, 229-251. 
• M. Hristache, V. Patilea (2019) "An equivalence result for moment equations when data are missing at random", Statistical Theory and Related Fields, vol. 3(2), 197-207. 
• S. Maistre, V. Patilea (2019) "Nonparametric model checks of single-index assumptions", Statistica Sinica, vol. 29, 113-138.
• W. Li, V. Patilea (2018) "A dimension reduction approach for conditional Kaplan-Meier estimators", TEST, vol. 27(2), 295-315. (long version here)
• M. Hristache, V. Patilea (2017) "Conditional moment models with data missing at random", Biometrika, vol. 104(3), 735–742. 
• W. Li, V. Patilea (2017) "A new inference approach for single-index models", Journal of Multivariate Analysis, vol. 158, 47–59.
• S. Maistre, P. Lavergne, V. Patilea (2016) "Powerful nonparametric checks of quantile regressions". Journal of Statist. Planning and Inference, vol. 180, 13-29.
• V. Patilea, M. Saumard, C. Sanchez-Sellero (2016) "Testing the predictor effect on a functional response"; Journal of the American Statistical Association, vol. 111(516), 1684-1695.
• M. Hristache, V. Patilea (2016) "Semiparametric Efficiency Bounds for Conditional Moment Restriction Models with Different Conditioning Variables"; Econometric Theory, vol. 32(4), 917-946.
• S. Maistre, P. Lavergne, V. Patilea (2015) "A significance test for covariates in nonparametric regression"; Electronic Journal of Statistics, vol. 9(1), 643-678.
• V. Patilea, H. Raïssi (2014) "Testing for second order dynamics for autoregressive processes in presence of time-varying variance"; Journal of the American Statistical Association, vol. 109(507), 1099-1111.
• P. Lavergne, V. Patilea (2013) "Smooth Minimum Distance Estimation and Testing in Conditional Moment Restrictions Models: Uniform in Bandwidth Theory"; Journal of Econometrics, vol. 177, 47-59.
• V. Patilea, H. Raïssi (2013) "Corrected Portmanteau tests for multivariate autoregressive processes time-varying variance"; Journal of Multivariate Analysis, vol. 116, 190-207.
• K. Yu, B. Wang, V. Patilea (2013) "New estimating equation approaches for parameter estimation and exact confidence intervals: application to lifetime data analysis"; Annals of the Institute of Mathematical Statistics, 65(3), 589-615.
• O. Lopez, I. Van Keilegom, V. Patilea (2013) "Single index regression models in the presence of censoring depending on the covariates"; Bernoulli, 19(3), 721-747.
• H. Raïssi, V. Patilea (2012) "Adaptive Estimation of VAR models with Time-Varying Variance: Application to Testing the VAR Order "; Journal of Statist. Planning and Inference, 142 (11), pp. 2891-2912.
• L. Hervé, J. Ledoux, V. Patilea (2012) "The Berry-Esseen bound of M-estimators for geometrically Markov chains"; Bernoulli,18(2), 703-734.
• H. Shiraishi, H. Ogata, T. Amano, V. Patilea, D. Veredas, M. Taniguchi (2012) "Optimal Portfolios with End-of-Period Target"; Advances in Decision Sciences, article ID 703465, 13 pages.
• P. Lavergne, V. Patilea (2012) "One for all and all for one: Dimension reduction for regression checks"; Journal of Business and Economic Statistics, 30(1), pp. 41-52.
• D. Bohning, H. Holling, V. Patilea (2011) "A limitation of the diagnostic-odds ratio in determining an optimal cut-off value for a continuous diagnostic test"; Statistical Methods in Medical Research, vol. 20(5), pp 561-570.
• V. Patilea, L. Sardet (2009) "The rule of thumb for smoothing with asymmetric kernels"; Annales de l'I.S.U.P. vol 53 – Fascicule 2-3, pp 49-60.
• O. Lopez, V. Patilea (2009) "Nonparametric lack-of-fit tests for parametric mean-regression models with censored data"; Journal of Multivariate Analysis, 100(1), pp. 210-230.
• M. Delecroix, O. Lopez, V. Patilea (2008) "Nonlinear Censored Regression Using Synthetic Data"; Scandinavian Journal of Statistics, 35(2), pp. 248-265.
• D. Karlis, V. Patilea (2008) "Bootstrap confidence intervals in mixtures of discrete distributions"; Journal of Statistical Planning and Inference, 138(8), pp. 2313-2329.
• D. Böhning, V. Patilea (2008) "A Capture-Recapture Approach for Screening Using Two Diagnostic Tests with Availability of Disease Status for the Test-Positives Only"; Journal of the American Statistical Association, vol. 103(481), pp. 212-221.
• P. Lavergne, V. Patilea (2008) "Breaking the curse of dimensionality in nonparametric testing"; Journal of Econometrics, vol 143(1), pp. 103-122.
• D. Karlis, V. Patilea (2007) "Confidence intervals of the hazard rate function for discrete distributions using mixtures"; Computational Statistics & Data Analysis, vol. 51, pp. 5388-5401.
• D. Bohning, W. Seidel, M. Alfo, B. Garel, V. Patilea, G. Walther (2007) "Advances in Mixture Models", éditorial pour le numéro spécial sur les mélanges; Computational Statistics & Data Analysis, vol. 51, pp. 5205-5210.
• V. Patilea (2007) "Semiparametric regression models with applications to scoring: a review"; Communication in Statistics (Theory & Methods), vol 36, pp. 1-13.
• V. Patilea, J.M. Rolin (2006) "Product-limit estimators of the survival function with twice censored data"; Annals of Statistics, vol 34, pp. 925-938.
• V. Patilea, J.M. Rolin (2006) "Product-limit estimators of the survival function for two modified forms of current-status data"; Bernoulli, vol 12, pp. 801-819.
• M. Delecroix, M. Hristache, V. Patilea (2006) "On semiparametric M-estimation in single-index regression"; Journal of Statist. Planning and Inference, vol. 136, pp. 730-769.
• D. Bohning, V. Patilea (2005) "Asymptotic normality in mixtures of discrete distributions"; Scandinavian Journal of Statistics, vol. 32, pp. 115-132.
• E. Renault, S. Pastorello, V. Patilea (2003) "Iterative and Recursive Estimation in Structural Non-Adaptive Models (with discussions)"; Journal of Business and Economic Statistics, vol 21, pp. 449-509.
• V. Patilea (2001) "Convex models, NPMLE and misspecification"; Annals of Statistics, vol. 29, pp. 94-123.
  

Book chapters

• V. Patilea, V., J.M. Rolin (2024) "Smooth Versus Likelihood Estimation for a Class of Mixtures of Discrete Distributions". Book chapter in "Nonparametric Bayesian Inference", Florens, JP., Mouchart, M. (eds), pp. 315-339, Springer, Cham (https://doi.org/10.1007/978-3-031-61329-6_13).
• V. Patilea, H. Raïssi (2023) "Orthogonal Impulse Response Analysis in Presence of Time-Varying Covariance". Book chapter in "Research Papers in Statistical Inference for Time Series and Related Models", Essays in Honor of Masanobu Taniguchi, Y. Liu, J. Hirukawa, Y. Kakizawa (eds.), pp. 416-443, Springer (https://doi.org/10.1007/978-981-99-0803-5). 
• E. Ghysels, E. Renault, O. Torres, V. Patilea (1998) "Nonparametric methods and option pricing". Chapter 13 in "Statistics in Finance", D. Hand and S. Jacka (eds.), Arnold Applications of Statistics, London, pp. 261-282.

Proceedings

• H. Raïssi, V. Patilea (2011) "Adaptive Estimation of VAR models with Time-Varying Variance: Application to Testing the VAR Order", 2011 Joint Statistical Meeting Proceedings (American Statistical Association).
• L. Sardet,V. Patilea (2009) "Nonparametric fine tuning of mixtures: application to non-life insurance claims", dans Advances in Data Analysis, Data Handling and Business Intelligence, (Series: Studies in Classification, Data Analysis, and Knowledge Organization, Springer, Berlin-Heidelberg), Fink, A., Lausen, B., Seidel, W., Ultsch, A. (Eds.) pp. 271-282.
• O. Lopez, V. Patilea (2007) "Synthetic data based nonparametric testing of parametric mean-regression models with censored data", dans Recent advances in stochastic modeling and data analysis (World Sci. Publ., Hackensack, NJ), C.H. Skiadas (Ed.)pp. 259-266.

Preprints

• "Semiparametric inference for partially linear regressions with Box-Cox transformation" (with Daniel Becker, A. Kneip); arxiv:2106.10723;
• "Modified Cox regression with current status data" (with L. Bordes, M.C. Pardo, C. Paroissin); arxiv:2002.10412.
• "A semiparametric single-index estimator for a class of estimating equations". (with W. Li, M. Hristache); arXiv:1608.04244. 
• "Projection-based nonparametric testing for functional covariate effect" (with M. Saumard, C. Sanchez-Sellero) ; arXiv:1205.5578.

PhD students

• Omar Kassi (co-supervision with Mathieu Marbac); September 2022 -
• Hassan Maissoro (co-supervision with Myriam Vimond); October 2021 - 
• Sunny Wang ; October 2021 - 
• Daphne Aurouet ; September 2021 - 

Former PhD students

• Guillaume Flament ; defense December 2024
• Edouard Genetay (co-supervision with Adrien Saumard); defense May 2022
• Steven Golovkine (co-supervision with Nicolas Klutchnikoff); defense Juin 2021
• Clément Vital (co-supervision with Laurent Rouvière; defense July 2016)
• Weiyu Li ; defense July 2015
• Samuel Maistre (co-supervision with Pascal Lavergne); defense September 2014
• Matthieu Saumard ; defense May 2013
• Laure Sardet (co-supervision with Denis Bosq) ; defense in November 2010
• Olivier Lopez (co-supervision with Michel Delecroix) ; defense Decembre 2007

Visiting PhD students

• Beatriz Piñeiro Lamas (visiting PhD student from UNIVERSIDADE DA CORUÑA; April-July 2022)
• Daniel Becker (visiting PhD student from Bonn University; September 2016, April to June 2017, March 2018)
• Mercedes Amboage (visiting PhD student from Universidad de Santiago de Compostela; Sept-Dec 2015)

2024/2025

Incomplete Data Methods (2A Ensai, in English)

Multivariate Time Series (2A Ensai, in English)

Functional Data (MSc and 3A Ensai, in English)

2022/2023

Duration Models (2A Ensai, in English)

Multivariate Time Series (2A Ensai, in English)

High-dimensional Time Series (MSc Statistics for Smart Data; jointly with Jad Beyhum, in English)

Functional Data (3A Ensai, in English)

2020/2022

Duration Models (2A Ensai, in English)

High-dimensional Time Series (MSc Statistics for Smart Data; jointly with Romain Tavenard, in English)

Functional Data (MSc Statistics for Smart Data; jointly with Eftychia Solea, in English)

2018/2020

Modèles de régression (2A Ensai)

Duration Models (2A Ensai, in English)

Modèles avancés d'ingénierie financière (3A Ensai)

High-dimensional Time Series (MSc Statistics for Smart Data; jointly with Lionel Truquet, in English)

Deep Learning (MSc Statistics for Smart Data; jointly with Pavlo Mozharovskyi, in English)

2017/2018

Modèles de régression (2A Ensai; in French)

Modèles avancés d'ingénierie financière (3A Ensai; in English)

High-dimensional Time Series (MSc Statistics for Smart Data; jointly with Lionel Truquet, in English)

2016/2017

Modèles de régression (2A Ensai; in French)

Modèles avancés d'ingénierie financière (3A Ensai; in English)

Regression Models (MSc Big-Data; in English)

Aggregation Methods in Statistics and Combinatorial Complexity (MSc Big-Data; jointly with Pavlo Mozharovskyi, in English)

Office hours (office 270)

Monday, Wednesday and Friday: 17:00 - 18:30

2006 - "Habilitation à diriger des recherches" in Mathematics, University of Rennes 1

1997 - PhD in Statistics, Université catholique de Louvain, Louvain-la-Neuve

1993 - MSc in Mathematical Economics and Econometrics, Université Toulouse I

1989 - MSc in Mathematics, University of Bucharest