Publications

2025A. Boulin, E. Di Bernardino, T. Laloë, G. Toulemonde. High-dimensional variable clustering based on sub-asymptotic maxima of a weakly dependent random process, Journal of the American Statistical Association.

2025A. Boulin, E. Di Bernardino, T. Laloë, G. Toulemonde. Identifying concomitant compound precipitation and wind speed extremes, Journal of the Royal Statistical Society Series C.

2025P. Ear, E. Di Bernardino, T. Laloë, M. Troin, A. Lambert. A semi-parametric distribution stitch based on the Berk-Jones test for French daily precipitation bias correction, Stochastic Environmental Research and Risk Assessment.

2025P. Ear, E. Di Bernardino, T. Laloë, A. Lambert, M. Troin. Seasonal Bias Correction of Daily Precipitation over France Using a Stitch Model Designed for Robust Representation of Extremes, Atmosphere.

2024E. Di Bernardino, T. Laloë, C. Pakzad. Estimation of extreme multivariate expectiles with functional covariates, Journal of Multivariate Analysis.

2023G. Mezzadri, T. Laloë, F. Mathy, P. Reynaud-Bouret. How to fit transfer models to learning data: a segmentation/clustering approach, Behavior Research Methods.

2022G. Mezzadri, P. Reynaud-Bouret, T. Laloë, F. Mathy. An order-dependent transfer model in categorization, Journal of Mathematical Psychology.

2022G. Mezzadri, T. Laloë, F. Mathy, P. Reynaud-Bouret. Hold-out strategy for selecting learning models: application to categorization subjected to presentation orders, Journal of Mathematical Psychology.

2022A. Boulin, E. Di Bernardino, T. Laloë, G. Toulemonde. Non-parametric estimator of a multivariate madogram for missing data and extreme value framework, Journal of Multivariate Analysis.

2022G. Mezzadri, P. Reynaud-Bouret, T. Laloë, F. Mathy. Investigating interactions between types of order in categorization, Scientific Reports.

2022E. Armaut, T. Laloë, R. Diel. Depth level set estimation and associated risk measures, Electronic Journal of Statistics.

2021T. Laloë. Quantization based clustering: an iterative approach, Pattern Recognition Letters.

2020D. Dang, T. Laloë, R. Servien. Exact asymptotic limit for kernel estimation of regression level sets, Statistics & Probability Letters.

2019G. Chagny, T. Laloë, R. Servien. Multivariate adaptative warped kernel estimation, Electronic Journal of Statistics.

2015E. Di Bernardino, T. Laloë, R. Servien. Estimating covariate functions associated to multivariate risks: a level sets approach, Metrika.

2015T. Laloë, R. Servien. A note on the asymptotic law of the histogram without continuity assumptions, Brazilian Journal of Probability and Statistics.

2015J. Chevallier, T. Laloë. Detection of dependence patterns with delay, Biometrical Journal.

2013T. Laloë, R. Servien. Nonparametric estimation of regression levelsets using kernel plug-in estimator, Journal of the Korean Statistical Society.

2013T. Laloë, R. Servien. The X-Alter Algorithm: A Parameter-Free Method of Unsupervised Clustering, Journal of Modern Applied Statistical Methods.

2012E. Di Bernardino, T. Laloë, V. Maume-Deschamps, C. Prieur. Plug-in estimation of level sets in a non compact setting with applications in multivariate risk theory, ESAIM P&S.

2011P. Brehmer, P. Fernandes, J. Guillard, T. Laloë. Three-dimensional internal spatial structure of young of the year pelagic freshwater fish provides evidence for the identification of fish school species, Limnology and Oceanography Methods.

2010T. Laloë. L_1 quantization and clustering in Banach spaces, Mathematical Methods of Statistics.

2008T. Laloë. A k-nearest neighbor approach for functional regression, Statistics & Probability Letters.