Jerome Saracco
Jerome Saracco
ENSC, INP- Bordeaux, France
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TitleCited byYear
Nonparametric prediction by conditional median and quantiles
A Gannoun, J Saracco, K Yu
Journal of statistical Planning and inference 117 (2), 207-223, 2003
Reference curves based on non‐parametric quantile regression
A Gannoun, S Girard, C Guinot, J Saracco
Statistics in medicine 21 (20), 3119-3135, 2002
An asymptotic theory for SIRα method
A Gannoun, J Saracco
Statistica Sinica 13 (2), 297-310, 2003
Sliced Inverse Regression (SIR): an appraisal of small sample alternatives to slicing
Y Aragon, J Saracco
Toulouse-GREMAQ Papers, 1996
Sliced inverse regression in reference curves estimation
A Gannoun, S Girard, C Guinot, J Saracco
Computational statistics & data analysis 46 (1), 103-122, 2004
Asymptotics for pooled marginal slicing estimator based on SIRα approach
J Saracco
Journal of multivariate Analysis 96 (1), 117-135, 2005
Non‐parametric quantile regression with censored data
A Gannoun, J Saracco, A Yuan, GE Bonney
Scandinavian Journal of Statistics 32 (4), 527-550, 2005
Pooled slicing methods versus slicing methods
J Saracco
Communications in statistics-Simulation and Computation 30 (3), 489-511, 2001
Some extensions of multivariate sliced inverse regression
L Barreda, A Gannoun, J Saracco
Journal of Statistical Computation and Simulation 77 (1), 1-17, 2007
A sliced inverse regression approach for data stream
M Chavent, S Girard, V Kuentz-Simonet, B Liquet, TMN Nguyen, ...
Computational Statistics 29 (5), 1129-1152, 2014
Orthogonal rotation in PCAMIX
M Chavent, V Kuentz-Simonet, J Saracco
Advances in Data Analysis and Classification 6 (2), 131-146, 2012
Multivariate analysis of mixed data: The PCAmixdata R package
M Chavent, V Kuentz-Simonet, A Labenne, J Saracco
arXiv preprint arXiv:1411.4911, 2014
A graphical tool for selecting the number of slices and the dimension of the model in SIR and SAVE approaches
B Liquet, J Saracco
Computational Statistics 27 (1), 103-125, 2012
Application of the Bootstrap Approach to the Choice of Dimension and the α Parameter in the SIRα Method
B Liquet, J Saracco
Communications in Statistics—Simulation and Computation® 37 (6), 1198-1218, 2008
Optimal quantization applied to sliced inverse regression
R Azaïs, A Gégout-Petit, J Saracco
Journal of Statistical Planning and Inference 142 (2), 481-492, 2012
On central tendency and dispersion measures for intervals and hypercubes
M Chavent, J Saracco
Communications in Statistics—Theory and Methods 37 (9), 1471-1482, 2008
Intraspecific chemical variability and highlighting of chemotypes of leaf essential oils from Ravensara aromatica Sonnerat, a tree endemic to Madagascar
HS Andrianoelisoa, C Menut, PC de Chatelperron, J Saracco, ...
Flavour and fragrance journal 21 (5), 833-838, 2006
A new sliced inverse regression method for multivariate response
R Coudret, S Girard, J Saracco
Computational Statistics & Data Analysis 77, 285-299, 2014
A sliced inverse regression approach for a stratified population
M Chavent, V Kuentz, B Liquet, J Saracco
Communications in statistics-Theory and methods 40 (21), 3857-3878, 2011
Sliced inverse regression under linear constraints
J Saracco
Communications in statistics-Theory and methods 28 (10), 2367-2393, 1999
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