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Jerome Saracco

Personal Details

First Name:Jerome
Middle Name:
Last Name:Saracco
Suffix:
RePEc Short-ID:psa574
[This author has chosen not to make the email address public]
http://www.math.u-bordeaux1.fr/~saracco/

Affiliation

Groupe de Recherche en Économie Théorique et Appliquée (GREThA)
Université de Bordeaux

Bordeaux, France
http://gretha.u-bordeaux4.fr/

: +33 (0)5.56.84.25.75
+33 (0)5.56.84.86.47
Avenue Léon Duguit, 33608 Pessac Cedex
RePEc:edi:ifredfr (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Mohamed CHAOUCH (IMB, Université de Bourgogne) & Ali GANNOUN (CNAM, Paris) & Jérôme SARACCO (GREThA), 2008. "Conditional Spatial Quantile: Characterization and Nonparametric Estimation," Cahiers du GREThA 2008-10, Groupe de Recherche en Economie Théorique et Appliquée.
  2. Aragon, Y. & Saracco, J., 1996. "Sliced Inverse Regression (SIR): An Appraisal of Small Sample Alternatives to Slicing," Papers 95.392, Toulouse - GREMAQ.

Articles

  1. Benoit Liquet & Jérôme Saracco & Daniel Commenges, 2007. "Selection between proportional and stratified hazards models based on expected log-likelihood," Computational Statistics, Springer, vol. 22(4), pages 619-634, December.
  2. Benoît Liquet & Jérôme Saracco, 2007. "Pooled marginal slicing approach via SIR α with discrete covariables," Computational Statistics, Springer, vol. 22(4), pages 599-617, December.
  3. Ali Gannoun & Jérôme Saracco & Ao Yuan & George E. Bonney, 2005. "Non-parametric Quantile Regression with Censored Data," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 32(4), pages 527-550.
  4. Gannoun, Ali & Girard, Stephane & Guinot, Christiane & Saracco, Jerome, 2004. "Sliced inverse regression in reference curves estimation," Computational Statistics & Data Analysis, Elsevier, vol. 46(1), pages 103-122, May.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Aragon, Y. & Saracco, J., 1996. "Sliced Inverse Regression (SIR): An Appraisal of Small Sample Alternatives to Slicing," Papers 95.392, Toulouse - GREMAQ.

    Cited by:

    1. Ali Gannoun & Jérôme Saracco, 2003. "Two Cross Validation Criteria for SIR α and PSIR α methods in view of prediction," Computational Statistics, Springer, vol. 18(3), pages 585-603, September.
    2. Benoît Liquet & Jérôme Saracco, 2012. "A graphical tool for selecting the number of slices and the dimension of the model in SIR and SAVE approaches," Computational Statistics, Springer, vol. 27(1), pages 103-125, March.

Articles

  1. Benoît Liquet & Jérôme Saracco, 2007. "Pooled marginal slicing approach via SIR α with discrete covariables," Computational Statistics, Springer, vol. 22(4), pages 599-617, December.

    Cited by:

    1. Wen, Xuerong Meggie, 2010. "On sufficient dimension reduction for proportional censorship model with covariates," Computational Statistics & Data Analysis, Elsevier, vol. 54(8), pages 1975-1982, August.

  2. Ali Gannoun & Jérôme Saracco & Ao Yuan & George E. Bonney, 2005. "Non-parametric Quantile Regression with Censored Data," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 32(4), pages 527-550.

    Cited by:

    1. Shim, Jooyong & Hwang, Changha, 2009. "Support vector censored quantile regression under random censoring," Computational Statistics & Data Analysis, Elsevier, vol. 53(4), pages 912-919, February.
    2. de Uña Álvarez, Jacobo & Roca Pardiñas, Javier, 2009. "Additive models in censored regression," Computational Statistics & Data Analysis, Elsevier, vol. 53(9), pages 3490-3501, July.
    3. Xie, Shangyu & Wan, Alan T.K. & Zhou, Yong, 2015. "Quantile regression methods with varying-coefficient models for censored data," Computational Statistics & Data Analysis, Elsevier, vol. 88(C), pages 154-172.

  3. Gannoun, Ali & Girard, Stephane & Guinot, Christiane & Saracco, Jerome, 2004. "Sliced inverse regression in reference curves estimation," Computational Statistics & Data Analysis, Elsevier, vol. 46(1), pages 103-122, May.

    Cited by:

    1. Coudret, R. & Girard, S. & Saracco, J., 2014. "A new sliced inverse regression method for multivariate response," Computational Statistics & Data Analysis, Elsevier, vol. 77(C), pages 285-299.
    2. Saracco, Jérôme, 2005. "Asymptotics for pooled marginal slicing estimator based on SIR[alpha] approach," Journal of Multivariate Analysis, Elsevier, vol. 96(1), pages 117-135, September.
    3. Pan, Qiujing & Dias, Daniel, 2017. "Sliced inverse regression-based sparse polynomial chaos expansions for reliability analysis in high dimensions," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 484-493.
    4. Simila, Timo, 2006. "Self-organizing map visualizing conditional quantile functions with multidimensional covariates," Computational Statistics & Data Analysis, Elsevier, vol. 50(8), pages 2097-2110, April.

More information

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Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (1) 2008-03-08

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