Jérôme Saracco - researchr alias

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Viewing Publication 1 - 24 from 24

2022

Advanced topics in Sliced Inverse RegressionStéphane Girard, Hadrien Lorenzo, Jérôme Saracco. ma, 188:104852, 2022. [doi]

Data-driven sparse partial least squaresHadrien Lorenzo, Olivier Cloarec, Rodolphe Thiébaut, Jérôme Saracco. sadm, 15(2):264-282, 2022. [doi]

2021

Combining clustering of variables and feature selection using random forestsMarie Chavent, Robin Genuer, Jérôme Saracco. cssc, 50(2):426-445, 2021. [doi]

2019

2018

ClustGeo: an R package for hierarchical clustering with spatial constraintsMarie Chavent, Vanessa Kuentz-Simonet, Amaury Labenne, Jérôme Saracco. cstat, 33(4):1799-1822, 2018. [doi]

2015

Conditional quantile estimation based on optimal quantization: From theory to practiceIsabelle Charlier, Davy Paindaveine, Jérôme Saracco. csda, 91:20-39, 2015. [doi]

QuantifQuantile: An R Package for Performing Quantile Regression Through Optimal QuantizationIsabelle Charlier, Davy Paindaveine, Jérôme Saracco. rjour, 7(2):65, 2015. [doi]

Comparison of Kernel Density Estimators with Assumption on Number of ModesRaphaël Coudret, Gilles Durrieu, Jérôme Saracco. cssc, 44(1):196-216, 2015. [doi]

2014

A sliced inverse regression approach for data streamMarie Chavent, Stéphane Girard, Vanessa Kuentz-Simonet, Benoit Liquet, Thi Mong Ngoc Nguyen, Jérôme Saracco. cstat, 29(5):1129-1152, 2014. [doi]

A new sliced inverse regression method for multivariate responseR. Coudret, Stéphane Girard, Jérôme Saracco. csda, 77:285-299, 2014. [doi]

2012

Orthogonal rotation in PCAMIXMarie Chavent, Vanessa Kuentz-Simonet, Jérôme Saracco. adac, 6(2):131-146, 2012. [doi]

A graphical tool for selecting the number of slices and the dimension of the model in SIR and SAVE approachesBenoît Liquet, Jérôme Saracco. cstat, 27(1):103-125, 2012. [doi]

2008

Application of the Bootstrap Approach to the Choice of Dimension and the alpha Parameter in the SIR::alpha:: MethodBenoit Liquet, Jérôme Saracco. cssc, 37(6):1198-1218, 2008. [doi]

2007

Analyse en Facteurs : présentation et comparaison des logiciels SAS, SPAD et SPSSMarie Chavent, Vanessa Kuentz, Jérôme Saracco. modulad, 37:1-30, 2007. [doi]

α with discrete covariablesBenoît Liquet, Jérôme Saracco. cstat, 22(4):599-617, 2007. [doi]

Selection between proportional and stratified hazards models based on expected log-likelihoodBenoit Liquet, Jérôme Saracco, Daniel Commenges. cstat, 22(4):619-634, 2007. [doi]

2004

Sliced inverse regression in reference curves estimationAli Gannoun, Stéphane Girard, Christiane Guinot, Jérôme Saracco. csda, 46(1):103-122, 2004. [doi]

Implémentation en C d'estimateurs non paramétriques de quantiles conditionnels. Application au tracé de courbes de référenceAli Gannoun, Stéphane Girard, Christiane Guinot, Jérôme Saracco. modulad, 31:51-62, 2004. [doi]

2003

α methods in view of predictionAli Gannoun, Jérôme Saracco. cstat, 18(3):585-603, 2003. [doi]

2002

Méthodes de régression semiparamétriques de typeAli Gannoun, Christiane Guinot, Jérôme Saracco. modulad, 29:1-34, 2002. [doi]

1999

La régression inverse par tranche ou méthodes SIR : présentationJérôme Saracco, Larramendy Irène, Aragon Yves. modulad, 22:21-40, 1999. [doi]

Implémentation en Splus des méthodes SIR univariées et multivariéeJérôme Saracco. modulad, 22:78-100, 1999. [doi]

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