A bootstrap method for assessing the dimension of a general regression problem, Statistics & Probability Letters, vol.77, issue.3, pp.247-255, 2007. ,
DOI : 10.1016/j.spl.2006.07.020
Gaussian Regularized Sliced Inverse Regression, Statistics and Computing, vol.5, issue.22, pp.85-98, 2009. ,
DOI : 10.1137/1.9780898717570
URL : https://hal.archives-ouvertes.fr/inria-00180458
A sliced inverse regression approach for data stream, Computational Statistics, vol.51, issue.22, pp.1129-1152, 2014. ,
DOI : 10.1093/bioinformatics/bti680
URL : https://hal.archives-ouvertes.fr/hal-00688609
A Sliced Inverse Regression Approach for a Stratified Population, Communications in Statistics - Theory and Methods, vol.5, issue.21, pp.3857-3878, 2011. ,
DOI : 10.1214/aos/1032526955
Can sir be as popular as multiple linear regression?, Statistica Sinica, vol.8, issue.2, pp.289-316, 1998. ,
Dimension reduction strategies for analyzing global gene expression data with a response, Mathematical Biosciences, vol.176, issue.1, pp.123-144, 2002. ,
DOI : 10.1016/S0025-5564(01)00106-7
Applied regression including computing and graphics, 2009. ,
DOI : 10.1002/9780470316948
A new sliced inverse regression method for multivariate response, Computational Statistics & Data Analysis, vol.77, pp.285-299, 2014. ,
DOI : 10.1016/j.csda.2014.03.006
URL : https://hal.archives-ouvertes.fr/hal-00714981
Asymptotics of Graphical Projection Pursuit, The Annals of Statistics, vol.12, issue.3, pp.793-815, 1984. ,
DOI : 10.1214/aos/1176346703
Slicing Regression: A Link-Free Regression Method, The Annals of Statistics, vol.19, issue.2, pp.505-530, 1991. ,
DOI : 10.1214/aos/1176348109
Introduction to statistical pattern recognition, 2013. ,
On almost Linearity of Low Dimensional Projections from High Dimensional Data, The Annals of Statistics, vol.21, issue.2, pp.867-889, 1993. ,
DOI : 10.1214/aos/1176349155
An Asymptotic Theory for Sliced Inverse Regression, The Annals of Statistics, vol.20, issue.2, pp.1040-1061, 1992. ,
DOI : 10.1214/aos/1176348669
Cluster-based Sliced Inverse Regression, Journal of the Korean Statistical Society, vol.39, issue.2, pp.251-267, 2010. ,
DOI : 10.1016/j.jkss.2009.08.004
URL : https://hal.archives-ouvertes.fr/hal-00547252
Sliced Inverse Regression for Dimension Reduction, Journal of the American Statistical Association, vol.13, issue.414, pp.316-327, 1991. ,
DOI : 10.1214/aos/1176345514
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.452.161
Cluster-based estimation for sufficient dimension reduction, Computational Statistics & Data Analysis, vol.47, issue.1, pp.175-193, 2004. ,
DOI : 10.1016/j.csda.2003.10.017
Dimension reduction methods for microarrays with application to censored survival data, Bioinformatics, vol.20, issue.18, pp.3406-3412, 2004. ,
DOI : 10.1093/bioinformatics/bth415
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.614.1028
A graphical tool for selecting the number of slices and the dimension of the model in SIR and SAVE approaches, Computational Statistics, vol.98, issue.1, pp.103-125, 2012. ,
DOI : 10.1016/j.jmva.2006.11.005
URL : https://hal.archives-ouvertes.fr/hal-00938090
An asymptotic theory for sliced inverse regression, Communications in Statistics - Theory and Methods, vol.5, issue.9, pp.2141-2171, 1997. ,
DOI : 10.1214/aos/1176345514
Regularized Sliced Inverse Regression with Applications in Classification, pp.59-66, 2006. ,
DOI : 10.1007/3-540-35978-8_7
Class prediction and gene selection for DNA microarrays using regularized sliced inverse regression, Computational Statistics & Data Analysis, vol.52, issue.1, pp.438-451, 2007. ,
DOI : 10.1016/j.csda.2007.02.005
Robust subspace clustering, The Annals of Statistics, vol.42, issue.2, pp.669-699, 2014. ,
DOI : 10.1214/13-AOS1199SUPP
URL : http://arxiv.org/abs/1301.2603
Dimensionality reduction: A comparative review, Journal of Machine Learning Research, vol.10, pp.1-41, 2009. ,
RSIR: regularized sliced inverse regression for motif discovery, Bioinformatics, vol.21, issue.22, pp.4169-4175, 2005. ,
DOI : 10.1093/bioinformatics/bti680
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.610.6339
Extending the Scope of Inverse Regression Methods in Sufficient Dimension Reduction, Communications in Statistics - Theory and Methods, vol.40, issue.1, pp.84-95, 2010. ,
DOI : 10.1080/03610920903350531
Graphics for regressions with a binary response, Journal of the American Statistical Association, vol.91, issue.1435, pp.983-992, 1996. ,
Successive direction extraction for estimating the central subspace in a multiple-index regression, Journal of Multivariate Analysis, vol.99, issue.8, pp.1733-1757, 2008. ,
DOI : 10.1016/j.jmva.2008.01.006
Sliced Inverse Regression for Dimension Reduction, Journal of the American Statistical Association, vol.13, issue.414, pp.316-327, 1991. ,
DOI : 10.1214/aos/1176345514
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.452.161
On almost Linearity of Low Dimensional Projections from High Dimensional Data, The Annals of Statistics, vol.21, issue.2, pp.867-889, 1993. ,
DOI : 10.1214/aos/1176349155
Dimensionality reduction for supervised learning with reproducing kernel Hilbert spaces, The Journal of Machine Learning Research, vol.5, pp.73-99, 2004. ,
DOI : 10.21236/ADA446572
Dimension reduction for nonelliptically distributed predictors, The Annals of Statistics, vol.37, issue.3, pp.1272-1298, 2009. ,
DOI : 10.1214/08-AOS598
URL : http://arxiv.org/abs/0904.3842
Kernel dimension reduction in regression, The Annals of Statistics, vol.37, issue.4, pp.1871-1905, 2009. ,
DOI : 10.1214/08-AOS637
URL : http://arxiv.org/abs/0908.1854
Sliced Inverse Regression for Dimension Reduction: Comment, Journal of the American Statistical Association, vol.86, issue.414, pp.328-332, 1991. ,
DOI : 10.2307/2290564
Fisher Lecture: Dimension Reduction in Regression, Statistical Science, vol.22, issue.1, pp.1-26, 2007. ,
DOI : 10.1214/088342306000000682
URL : http://arxiv.org/abs/0708.3774
Gaussian Regularized Sliced Inverse Regression, Statistics and Computing, vol.5, issue.22, pp.85-98, 2009. ,
DOI : 10.1137/1.9780898717570
URL : https://hal.archives-ouvertes.fr/inria-00180458
Extending Sliced Inverse Regression, Journal of the American Statistical Association, vol.96, issue.455, pp.996-1003, 2001. ,
DOI : 10.1198/016214501753208979
A comparison of procedures based on inverse regression, Lecture Notes-Monograph Series, vol.31, pp.271-278, 1997. ,
DOI : 10.1214/lnms/1215454143
A note On outlier sensitivity of Sliced Inverse Regression, Statistics, vol.27, issue.4, pp.271-281, 2002. ,
DOI : 10.1214/aos/1032526955
A Robustified Version of Sliced Inverse Regression, Statistics in Genetics and in the Environmental Sciences, pp.147-157, 2001. ,
DOI : 10.1007/978-3-0348-8326-9_10
Robust inverse regression for dimension reduction, Journal of Multivariate Analysis, vol.134, pp.71-81, 2015. ,
DOI : 10.1016/j.jmva.2014.10.005
Robust mixture modelling using the t distribution, Statistics and Computing, vol.10, pp.339-348, 2000. ,
Scale mixtures of normal distributions, Journal of the Royal Statistical Society. Series BMethodological), vol.36, issue.1, pp.99-102, 1974. ,
Determining the dimension in sliced inverse regression and related methods, Journal of the American Statistical Association, vol.93, issue.441, pp.132-140, 1998. ,
A sliced inverse regression approach for data stream, Computational Statistics, vol.51, issue.22, pp.1129-1152, 2014. ,
DOI : 10.1093/bioinformatics/bti680
URL : https://hal.archives-ouvertes.fr/hal-00688609
A graphical tool for selecting the number of slices and the dimension of the model in SIR and SAVE approaches, Computational Statistics, vol.98, issue.1, pp.2012-103 ,
DOI : 10.1016/j.jmva.2006.11.005
URL : https://hal.archives-ouvertes.fr/hal-00938090
Determining the Dimensionality in Sliced Inverse Regression, Journal of the American Statistical Association, vol.16, issue.425, pp.425-141, 1994. ,
DOI : 10.1214/aos/1176345514
Assessing the Number of Linear Components in a General Regression Problem, Journal of the American Statistical Association, vol.5, issue.443, pp.1088-1098, 1998. ,
DOI : 10.1214/aos/1176343954
A bootstrap method for assessing the dimension of a general regression problem, Statistics & Probability Letters, vol.77, issue.3, pp.247-255, 2007. ,
DOI : 10.1016/j.spl.2006.07.020
On Sliced Inverse Regression With High-Dimensional Covariates, Journal of the American Statistical Association, vol.101, issue.474, pp.630-643, 2006. ,
DOI : 10.1198/016214505000001285
Bayes Factors, Journal of the American Statistical Association, vol.2, issue.430, pp.773-795, 1995. ,
DOI : 10.1214/ss/1177013241
Introduction to high-dimensional statistics, Chapman and Hall, CRC Monographs on Statistics and Applied Probability, 2014. ,
Improving dimension reduction via contourprojection, Statistica Sinica, vol.18, issue.1, pp.299-311, 2008. ,
Contour projected dimension reduction, The Annals of Statistics, vol.37, issue.6B, pp.3743-3778, 2009. ,
DOI : 10.1214/08-AOS679
URL : http://arxiv.org/abs/0911.3481
Robust dimension reduction based on canonical correlation, Journal of Multivariate Analysis, vol.100, issue.1, pp.195-209, 2009. ,
DOI : 10.1016/j.jmva.2008.04.003
URL : http://doi.org/10.1016/j.jmva.2008.04.003
: A Package for Likelihood-Based Sufficient Dimension Reduction, Journal of Statistical Software, vol.39, issue.3, pp.1-20, 2011. ,
DOI : 10.18637/jss.v039.i03
URL : http://doi.org/10.18637/jss.v039.i03
Collaborative sliced inverse regression , Communications in Statistics -Theory and Methods ,
DOI : 10.1080/03610926.2015.1116578
URL : https://hal.archives-ouvertes.fr/hal-01086931/file/Chiancone_CollaborativeSIR_pres.pdf
Some extensions of multivariate sliced inverse regression, Journal of Statistical Computation and Simulation, vol.15, issue.1, pp.1-17, 2007. ,
DOI : 10.1002/env.630
A new sliced inverse regression method for multivariate response, Computational Statistics & Data Analysis, vol.77, pp.285-299, 2014. ,
DOI : 10.1016/j.csda.2014.03.006
URL : https://hal.archives-ouvertes.fr/hal-00714981
Scale mixtures of normal distributions, Journal of the Royal Statistical Society. Series B (Methodological), vol.36, pp.99-102, 1974. ,
A Gauss implementation of multivariate sliced inverse regression, Computational Statistics, vol.12, pp.355-372, 1997. ,
Sliced inverse regression (SIR): an appraisal of small sample alternatives to slicing, Compitational Statistics, vol.12, pp.109-130, 1997. ,
Optimal quantization applied to sliced inverse regression, Journal of Statistical Planning and Inference, vol.142, issue.2, pp.481-492, 2012. ,
DOI : 10.1016/j.jspi.2011.08.006
Controlling the false discovery rate via knockoffs, The Annals of Statistics, pp.2055-2085, 2015. ,
Some extensions of multivariate sliced inverse regression, Journal of Statistical Computation and Simulation, vol.15, issue.1, pp.1-17, 2007. ,
DOI : 10.1002/env.630
A bootstrap method for assessing the dimension of a general regression problem, Statistics & Probability Letters, vol.77, issue.3, pp.247-255, 2007. ,
DOI : 10.1016/j.spl.2006.07.020
A new approach on recursive and non-recursive SIR methods, Journal of the Korean Statistical Society, vol.41, issue.1, pp.41-58, 2012. ,
DOI : 10.1016/j.jkss.2011.05.005
URL : https://hal.archives-ouvertes.fr/hal-00642653
Retrieval of Mars surface physical properties from OMEGA hyperspectral images using regularized sliced inverse regression, Journal of Geophysical Research, vol.20, issue.2, p.114, 2009. ,
DOI : 10.1137/1.9780898717921
URL : https://hal.archives-ouvertes.fr/inria-00276116
Gaussian Regularized Sliced Inverse Regression, Statistics and Computing, vol.5, issue.22, pp.85-98, 2009. ,
DOI : 10.1137/1.9780898717570
URL : https://hal.archives-ouvertes.fr/inria-00180458
Handbook of Statistics. Vol. 3: Time Series in the Frequency Domain., Biometrics, vol.42, issue.2, p.1, 1983. ,
DOI : 10.2307/2531074
A sliced inverse regression approach for data stream, Computational Statistics, vol.51, issue.22, pp.29-1129, 2014. ,
DOI : 10.1093/bioinformatics/bti680
URL : https://hal.archives-ouvertes.fr/hal-00688609
A Sliced Inverse Regression Approach for a Stratified Population, Communications in Statistics - Theory and Methods, vol.5, issue.21, pp.40-3857, 2011. ,
DOI : 10.1214/aos/1032526955
Can SIR be as popular as multiple linear regression?, Statistica Sinica, vol.8, pp.289-316, 1998. ,
Collaborative sliced inverse regression, Communications in Statistics - Theory and Methods, vol.10, issue.1 ,
DOI : 10.1080/03610920903350531
URL : https://hal.archives-ouvertes.fr/hal-01221010
Dimension reduction strategies for analyzing global gene expression data with a response, Mathematical Biosciences, vol.176, issue.1, pp.123-144, 2002. ,
DOI : 10.1016/S0025-5564(01)00106-7
Scale Object Selection (SOS) through a hierarchical segmentation by a multi-spectral per-pixel classification, Pattern Recognition Letters, vol.49, pp.49-214, 2014. ,
DOI : 10.1016/j.patrec.2014.07.012
URL : https://hal.archives-ouvertes.fr/hal-01065938
Necessary and sufficient conditions for consistency of a method for smoothed functional inverse regression, Statistica Sinica, pp.235-238, 2010. ,
Fisher Lecture: Dimension Reduction in Regression, Statistical Science, vol.22, issue.1, pp.1-26, 2007. ,
DOI : 10.1214/088342306000000682
URL : http://arxiv.org/abs/0708.3774
Reflections on a statistical career and their implications, Past, Present, and Future of Statistical Science, pp.97-108, 2014. ,
DOI : 10.1201/b16720-12
Likelihood-Based Sufficient Dimension Reduction, Journal of the American Statistical Association, vol.104, issue.485, pp.197-208, 2009. ,
DOI : 10.1198/jasa.2009.0106
Principal Fitted Components for Dimension Reduction in Regression, Statistical Science, vol.23, issue.4, pp.485-501, 2008. ,
DOI : 10.1214/08-STS275
URL : http://arxiv.org/abs/0906.3953
: A Package for Likelihood-Based Sufficient Dimension Reduction, Journal of Statistical Software, vol.39, issue.3, pp.1-20, 2011. ,
DOI : 10.18637/jss.v039.i03
URL : http://doi.org/10.18637/jss.v039.i03
Reweighting to Achieve Elliptically Contoured Covariates in Regression, Journal of the American Statistical Association, vol.21, issue.426, pp.592-599, 1994. ,
DOI : 10.1002/0471725218
Sliced inverse regression for dimension reduction: Comment, Journal of the American Statistical Association, vol.86, pp.328-332, 1991. ,
A new sliced inverse regression method for multivariate response, Computational Statistics & Data Analysis, vol.77, pp.285-299, 2014. ,
DOI : 10.1016/j.csda.2014.03.006
URL : https://hal.archives-ouvertes.fr/hal-00714981
Save: a method for dimension reduction and graphics in regression , Communications in statistics-Theory and methods, pp.2109-2121, 2000. ,
Asymptotics of graphical projection pursuit, The Annals of Statistics, pp.793-815, 1984. ,
Tensor sliced inverse regression, Journal of Multivariate Analysis, vol.133, pp.216-231, 2015. ,
DOI : 10.1016/j.jmva.2014.08.015
Robust inverse regression for dimension reduction, Journal of Multivariate Analysis, vol.134, pp.71-81, 2015. ,
DOI : 10.1016/j.jmva.2014.10.005
Determining the dimension in sliced inverse regression and related methods, Journal of the American Statistical Association, vol.93, pp.132-140, 1998. ,
Functional sliced inverse regression analysis, Statistics, vol.3, issue.6, pp.37-475, 2003. ,
DOI : 10.2307/2291210
Dimensionality reduction for supervised learning with reproducing kernel Hilbert spaces, The Journal of Machine Learning Research, vol.5, pp.73-99, 2004. ,
DOI : 10.21236/ADA446572
A Robustified Version of Sliced Inverse Regression, Statistics in Genetics and in the Environmental Sciences, pp.147-157, 2001. ,
DOI : 10.1007/978-3-0348-8326-9_10
On almost linearity of low dimensional projections from high dimensional data, The Annals of Statistics, pp.867-889, 1993. ,
Comment, Journal of the American Statistical Association, vol.86, issue.414, pp.333-335, 1991. ,
DOI : 10.1080/01621459.1991.10475037
Bagging Versions of Sliced Inverse Regression, Communications in Statistics - Theory and Methods, vol.13, issue.11, pp.1985-1996, 2010. ,
DOI : 10.1007/978-1-4612-0795-5
URL : https://hal.archives-ouvertes.fr/hal-00389125
Cluster-based Sliced Inverse Regression, Journal of the Korean Statistical Society, vol.39, issue.2, pp.251-267, 2010. ,
DOI : 10.1016/j.jkss.2009.08.004
URL : https://hal.archives-ouvertes.fr/hal-00547252
Dimension reduction for nonelliptically distributed predictors, The Annals of Statistics, pp.1272-1298, 2009. ,
On dimension folding of matrix-or array-valued statistical objects, The Annals of Statistics, pp.1094-1121, 2010. ,
Sliced Inverse Regression for Dimension Reduction, Journal of the American Statistical Association, vol.13, issue.414, pp.316-327, 1991. ,
DOI : 10.1214/aos/1176345514
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.452.161
Dimension Reduction for Multivariate Response Data, Journal of the American Statistical Association, vol.98, issue.461, pp.98-99, 2003. ,
DOI : 10.1198/016214503388619139
Sparse sufficient dimension reduction, Biometrika, vol.94, issue.3, pp.94-603, 2007. ,
DOI : 10.1093/biomet/asm044
Cluster-based estimation for sufficient dimension reduction, Computational Statistics & Data Analysis, vol.47, issue.1, pp.47-175, 2004. ,
DOI : 10.1016/j.csda.2003.10.017
Dimension reduction methods for microarrays with application to censored survival data, Bioinformatics, vol.20, issue.18, pp.3406-3412, 2004. ,
DOI : 10.1093/bioinformatics/bth415
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.614.1028
Sparse Sliced Inverse Regression, Technometrics, vol.48, issue.4, pp.48-503, 2006. ,
DOI : 10.1198/004017006000000129
Method, Communications in Statistics - Simulation and Computation, vol.5, issue.6, pp.1198-1218, 2008. ,
DOI : 10.1214/aos/1032526955
URL : https://hal.archives-ouvertes.fr/hal-00646593
Sliced inverse regression for multivariate response regression, Journal of Statistical Planning and Inference, vol.139, issue.8, pp.2656-2664, 2009. ,
DOI : 10.1016/j.jspi.2008.12.006
Contour projected dimension reduction, The Annals of Statistics, pp.3743-3778, 2009. ,
Abraham Wald's Work on Aircraft Survivability, Journal of the American Statistical Association, vol.75, issue.386, pp.259-267, 1984. ,
DOI : 10.1073/pnas.72.1.20
An asymptotic theory for sliced inverse regression, Communications in Statistics - Theory and Methods, vol.5, issue.9, pp.2141-2171, 1997. ,
DOI : 10.1214/aos/1176345514
Determining the Dimensionality in Sliced Inverse Regression, Journal of the American Statistical Association, vol.16, issue.425, pp.141-148, 1994. ,
DOI : 10.1214/aos/1176345514
Regularized sliced inverse regression with applications in classification, in Data Analysis, Classification and the Forward Search, pp.59-66, 2006. ,
A comparison of procedures based on inverse regression, Lecture Notes-Monograph Series, pp.31-271, 1997. ,
Gauss and the invention of least squares, The Annals of Statistics, pp.465-474, 1981. ,
Robust functional sliced inverse regression, Statistical Papers, vol.32, issue.1, pp.1-19, 2015. ,
DOI : 10.1214/aos/1079120132
Improving dimension reduction via contourprojection, Statistica Sinica, vol.18, pp.299-311, 2008. ,
Multiple-population shrinkage estimation via sliced inverse regression, Statistics and Computing, vol.105, issue.1, pp.1-12, 2015. ,
DOI : 10.1198/jasa.2010.tm09666
Regularized sliced inverse regression for kernel models, 2007. ,
Sliced Inverse Regression With Adaptive Spectral Sparsity for Dimension Reduction, IEEE Transactions on Cybernetics, vol.47, issue.3, pp.1-13, 2016. ,
DOI : 10.1109/TCYB.2016.2526630
Nonlinear dimension reduction with kernel sliced inverse regression, IEEE Transactions on Knowledge and Data Engineering, vol.21, pp.1590-1603, 2009. ,
Successive direction extraction for estimating the central subspace in a multiple-index regression, Journal of Multivariate Analysis, vol.99, issue.8, pp.99-1733, 2008. ,
DOI : 10.1016/j.jmva.2008.01.006
RSIR: regularized sliced inverse regression for motif discovery, Bioinformatics, vol.21, issue.22, pp.4169-4175, 2005. ,
DOI : 10.1093/bioinformatics/bti680
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.610.6339
Robust dimension reduction based on canonical correlation, Journal of Multivariate Analysis, vol.100, issue.1, pp.195-209, 2009. ,
DOI : 10.1016/j.jmva.2008.04.003
URL : http://doi.org/10.1016/j.jmva.2008.04.003
On spline approximation of sliced inverse regression, Science in China Series A: Mathematics, vol.50, pp.1289-1302, 2007. ,
Asymptotics for kernel estimate of sliced inverse regression, The Annals of Statistics, pp.1053-1068, 1996. ,
Asymptotics of sliced inverse regression, Statistica Sinica, vol.5, pp.727-736, 1995. ,
DOI : 10.1214/aos/1032526955