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Eva Boj II

Personal Details

First Name:Eva
Middle Name:
Last Name:Boj
Suffix:II
RePEc Short-ID:pbo686
[This author has chosen not to make the email address public]

Affiliation

Facultat d'Economia i Empresa
Universitat de Barcelona

Barcelona, Spain
http://www.ub.es/economiaempresa/

: +34 93 402 43 13cazza

Diagonal 690-696, 08034 Barcelona
RePEc:edi:feubaes (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Eva Boj & Pedro Delicado & Josep Fortiana & Anna Esteve & Adria Caballe, 2012. "Local Distance-Based Generalized Linear Models using the dbstats package for R," Working Papers XREAP2012-11, Xarxa de Referència en Economia Aplicada (XREAP), revised May 2012.
  2. Eva Boj del Val & M. Mercedes Claramunt Bielsa & Jose Fortiana Gregori, 2006. "Bootstrapping pairs in Distance-Based Regression," Working Papers in Economics 154, Universitat de Barcelona. Espai de Recerca en Economia.
  3. Boj, Eva & Grané, Aurea & Fortiana, Josep & Claramunt, M. Merce, 2006. "Implementing PLS for distance-based regression: computational issues," DES - Working Papers. Statistics and Econometrics. WS ws063514, Universidad Carlos III de Madrid. Departamento de Estadística.
  4. Eva Boj del Val & M. Mercedes Claramunt Bielsa & Jose Fortiana Gregori, 2002. "Herramientas estadisticas para el estudio de perfiles de riesgo," Working Papers in Economics 88, Universitat de Barcelona. Espai de Recerca en Economia.

Articles

  1. Boj, Eva & Delicado, Pedro & Fortiana, Josep, 2010. "Distance-based local linear regression for functional predictors," Computational Statistics & Data Analysis, Elsevier, vol. 54(2), pages 429-437, February.
  2. Eva Boj & Aurea Grané & Josep Fortiana & M. Claramunt, 2007. "Implementing PLS for distance-based regression: computational issues," Computational Statistics, Springer, vol. 22(2), pages 237-248, July.

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. Boj, Eva & Grané, Aurea & Fortiana, Josep & Claramunt, M. Merce, 2006. "Implementing PLS for distance-based regression: computational issues," DES - Working Papers. Statistics and Econometrics. WS ws063514, Universidad Carlos III de Madrid. Departamento de Estadística.

    Cited by:

    1. Eva Boj & Adrià Caballé & Pedro Delicado & Anna Esteve & Josep Fortiana, 2016. "Global and local distance-based generalized linear models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 25(1), pages 170-195, March.
    2. Pedro Delicado, 2007. "Functional k-sample problem when data are density functions," Computational Statistics, Springer, vol. 22(3), pages 391-410, September.
    3. Eva Boj & Pedro Delicado & Josep Fortiana & Anna Esteve & Adria Caballe, 2012. "Local Distance-Based Generalized Linear Models using the dbstats package for R," Working Papers XREAP2012-11, Xarxa de Referència en Economia Aplicada (XREAP), revised May 2012.

Articles

  1. Boj, Eva & Delicado, Pedro & Fortiana, Josep, 2010. "Distance-based local linear regression for functional predictors," Computational Statistics & Data Analysis, Elsevier, vol. 54(2), pages 429-437, February.

    Cited by:

    1. Zhiyong Zhou & Zhengyan Lin, 2016. "Asymptotic normality of locally modelled regression estimator for functional data," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 28(1), pages 116-131, March.
    2. Chagny, Gaëlle & Roche, Angelina, 2016. "Adaptive estimation in the functional nonparametric regression model," Journal of Multivariate Analysis, Elsevier, vol. 146(C), pages 105-118.
    3. Chouaf Abdelhak & Laksaci Ali, 2012. "On the functional local linear estimate for spatial regression," Statistics & Risk Modeling, De Gruyter, vol. 29(3), pages 189-214, August.
    4. Fatiha Messaci & Nahima Nemouchi & Idir Ouassou & Mustapha Rachdi, 2015. "Local polynomial modelling of the conditional quantile for functional data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 24(4), pages 597-622, November.
    5. Oscar Melo & Carlos Melo & Jorge Mateu, 2015. "Distance-based beta regression for prediction of mutual funds," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 99(1), pages 83-106, January.
    6. Han Shang, 2014. "Bayesian bandwidth estimation for a semi-functional partial linear regression model with unknown error density," Computational Statistics, Springer, vol. 29(3), pages 829-848, June.
    7. Shang, Han Lin, 2013. "Bayesian bandwidth estimation for a nonparametric functional regression model with unknown error density," Computational Statistics & Data Analysis, Elsevier, vol. 67(C), pages 185-198.
    8. Philip T. Reiss & Jeff Goldsmith & Han Lin Shang & R. Todd Ogden, 2017. "Methods for Scalar-on-Function Regression," International Statistical Review, International Statistical Institute, vol. 85(2), pages 228-249, August.

  2. Eva Boj & Aurea Grané & Josep Fortiana & M. Claramunt, 2007. "Implementing PLS for distance-based regression: computational issues," Computational Statistics, Springer, vol. 22(2), pages 237-248, July.
    See citations under working paper version above.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 papers 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 (3) 2006-05-27 2006-07-02 2012-05-29
  2. NEP-FOR: Forecasting (1) 2012-05-29

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