Implémentation en Splus des méthodes SIR univariées et multivariée. - Jérôme Saracco (Monde des Util. Anal. Données, 1999)

La régression inverse par tranche ou méthodes SIR : présentation. - Jérôme Saracco; Larramendy Irène; Aragon Yves (Monde des Util. Anal. Données, 1999)

Méthodes de régression semiparamétriques de type. - Ali Gannoun; Christiane Guinot; Jérôme Saracco (Monde des Util. Anal. Données, 2002)

Two Cross Validation Criteria for SIRα and PSIRα methods in view of prediction. - Ali Gannoun; Jérôme Saracco (Comput. Stat., 2003)

Sliced inverse regression in reference curves estimation. - Ali Gannoun; Stéphane Girard; Christiane Guinot; Jérôme Saracco (Comput. Stat. Data Anal., 2004)

Implémentation en C d'estimateurs non paramétriques de quantiles conditionnels. Application au tracé de courbes de référence. - Ali Gannoun; Stéphane Girard; Christiane Guinot; Jérôme Saracco (Monde des Util. Anal. Données, 2004)

Pooled marginal slicing approach via SIR α with discrete covariables. - Benoît Liquet; Jérôme Saracco (Comput. Stat., 2007)

Selection between proportional and stratified hazards models based on expected log-likelihood. - Benoit Liquet; Jérôme Saracco; Daniel Commenges (Comput. Stat., 2007)

Analyse en Facteurs : présentation et comparaison des logiciels SAS, SPAD et SPSS. - Marie Chavent; Vanessa Kuentz; Jérôme Saracco (Monde des Util. Anal. Données, 2007)

Application of the Bootstrap Approach to the Choice of Dimension and the alpha Parameter in the SIRalpha Method. - Benoit Liquet; Jérôme Saracco (Commun. Stat. Simul. Comput., 2008)

Orthogonal rotation in PCAMIX. - Marie Chavent; Vanessa Kuentz-Simonet; Jérôme Saracco (Adv. Data Anal. Classif., 2012)

A graphical tool for selecting the number of slices and the dimension of the model in SIR and SAVE approaches. - Benoît Liquet; Jérôme Saracco (Comput. Stat., 2012)

A new sliced inverse regression method for multivariate response. - Raphaël Coudret; Stéphane Girard; Jérôme Saracco (Comput. Stat. Data Anal., 2014)

A sliced inverse regression approach for data stream. - Marie Chavent; Stéphane Girard; Vanessa Kuentz-Simonet; Benoit Liquet; Thi Mong Ngoc Nguyen; Jérôme Saracco (Comput. Stat., 2014)

Conditional quantile estimation based on optimal quantization: From theory to practice. - Isabelle Charlier; Davy Paindaveine; Jérôme Saracco (Comput. Stat. Data Anal., 2015)

Comparison of Kernel Density Estimators with Assumption on Number of Modes. - Raphaël Coudret; Gilles Durrieu; Jérôme Saracco (Commun. Stat. Simul. Comput., 2015)

QuantifQuantile: An R Package for Performing Quantile Regression Through Optimal Quantization. - Isabelle Charlier; Davy Paindaveine; Jérôme Saracco (R J., 2015)

ClustGeo: an R package for hierarchical clustering with spatial constraints. - Marie Chavent; Vanessa Kuentz-Simonet; Amaury Labenne; Jérôme Saracco (Comput. Stat., 2018)

High-Dimensional Multi-Block Analysis of Factors Associated with Thrombin Generation Potential. - Hadrien Lorenzo; Misbah Razzaq; Jacob Odeberg; Pierre-Emmanuel Morange; Jérôme Saracco; David Alexandre; Rodolphe Thiébaut (CBMS, 2019)

Impact of Speller Size on a Visual P300 Brain-Computer Interface (BCI) System under Two Conditions of Constraint for Eye Movement. - Ricardo Ron-Angevin; Liliana García; Álvaro Fernández-Rodríguez; Jérôme Saracco; Jean-Marc André; Véronique Lespinet-Najib (Comput. Intell. Neurosci., 2019)

Supervised Learning for Multi-Block Incomplete Data. - Hadrien Lorenzo; Jérôme Saracco; Rodolphe Thiébaut (CoRR, 2019)

Variable importance assessment in sliced inverse regression for variable selection. - Ines Jlassi; Jérôme Saracco (Commun. Stat. Simul. Comput., 2019)

Combining clustering of variables and feature selection using random forests. - Marie Chavent; Robin Genuer; Jérôme Saracco (Commun. Stat. Simul. Comput., 2021)

Advanced topics in Sliced Inverse Regression. - Stéphane Girard; Hadrien Lorenzo; Jérôme Saracco (J. Multivar. Anal., 2022)

Data-driven sparse partial least squares. - Hadrien Lorenzo; Olivier Cloarec; Rodolphe Thiébaut; Jérôme Saracco (Stat. Anal. Data Min., 2022)