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Biography

Prof. Ana M. Aguilera

Department of Statistics and O.R.

University of Granada, Spain


Email: aaguiler@ugr.es


Qualifications

1993 Ph.D., Mathematics, Faculty of Sciences, University of Granada, Spain

1990 B.S., Mathematics, Faculty of Sciences, University of Granada, Spain


Publications (Selected)

  1. Paula R. Bouzas, Ana M. Aguilera and Nuria Ruiz-Fuentes (2012). Functional estimation of a Cox process. Methodology and Computing in Applied Probability, 14(1), 57-69.
  2. M. Carmen Aguilera-Morillo, Ana M. Aguilera, Manuel Escabias y Mariano J. Valderrama (2013). Penalized spline approaches for functional logit regression. Test, 22(2), 251-277.
  3. Ana M. Aguilera y M. Carmen Aguilera-Morillo (2013). Comparative study of different B-splines approaches for functional data. Mathematical and Computer Modelling, 58, 1568-1579.
  4. Ana M. Aguilera y M. Carmen Aguilera-Morillo (2013). Penalized PCA approaches for B-spline expansions of smooth functional data. Applied Mathematics and Computation, 219, 7805-7819.
  5. Manuel Escabias, Mariano J. Valderrama, Ana M. Aguilera, M. Elena Santofimia, y M. Carmen Aguilera-Morillo. (2013). Stepwise selection of functional covariates in forecasting peak levels of olive pollen. Stochastic Environmental Research and Risk Assessment, 27(2), 367-376.
  6. M. Carmen Aguilera-Morillo y Ana M. Aguilera (2013). P-spline estimation of functional classification methods for improving the quality in the food industry. Communications in Statistics - Simulation and Computation, en prensa.
  7. Ana M. Aguilera, Manuel Escabias, Mariano J. Valderrama y M. Carmen Aguilera-Morillo (2013). Functional analysis of Chemometric data. Open Journal of Statistics, 3, 334-343.
  8. Manuel Escabias, Ana M. Aguilera y M. Carmen Aguilera-Morillo (2014). Functional PCA and base-line logit models. Journal of Classification, en prensa.
  9. Mariano J. Valderrama, Francisco A. Oca˜na, Ana M. Aguilera and FranciscoM. Oca˜na-Peinado (2010). Forecasting pollen concentration by a twosteps functional model. Biometrics, 76, 578-585.
  10. Paula R. Bouzas, Ana M. Aguilera and Nuria Ruiz-Fuentes (2010). Functional estimation of a Cox process. Methodology and Computing in Applied Probability, published online 25 March 2010. DOI:10.1007/s11009-010-9173-z.
  11. Paula R. Bouzas, Nuria Ruiz-Fuentes, A. Matilla, Ana M. Aguilera and Mariano J. Valderrama (2010). A Cox model for radioactivity counting measure: Inference on the intensity process. Chemometrics and Intelligent Laboratory Systems, 103 (2), 116-121.
  12. Ana M. Aguilera, Manuel Escabias, Cristian Preda and Gilbert Saporta (2010). Using basis expansions for estimating functional PLS regression. Applications with functional chemical data. Chemometrics and Intelligent Laboratory Systems, 104, 289-305.
  13. Ana M. Aguilera, M. Escabias and M.J. Valderrama (2008). Forecasting binary longitudinal data by a functional PC-ARIMA model. Computational Statistics and Data Analysis, 52, 3187-3197.
  14. Francisco Oca˜na, Mariano J. Valderrama and Ana M. Aguilera (2008). A dynamic regression model for air pollen concentration. Stochastic Environmental Research and Risk Assessment, 22, 859-863.
  15. Ana M. Aguilera, Manuel Escabias and Mariano J. Valderrama (2008). Discussion of different logistics models with functional data. Applications to systemic lupus erythematosus. Computational Statistics and Data Analysis, 53; 151-163.
  16. Manuel Escabias, Ana M. Aguilera and M.J. Valderrama (2007). Functional PLS logit regression. Computational Statistics and Data Analysis, 51 (10); 4891-4902.
  17. Francisco Oca˜na, Ana M. Aguilera and Manuel Escabias (2007). Computational considerations in estimating functional principal component analysis. Computational Statistics, 22, 449-465.
  18. Ana M. Aguilera, M. Escabias and Mariano J. Valderrama (2006). Using principal components for estimating logistic regression with high dimensional multicollinear data. Computational Statistics and Data Analysis,50; 1905-1924.
  19. Paula R. Bouzas, Mariano J. Valderrama, Nuria Ruiz-Fuentes and Ana M. Aguilera (2006). Modelling the mean of a doubly stochastic Poisson process by functional data analysis. Computational Statistics and Data Analysis, 50; 2655-2667.
  20. Paula R. Bouzas, Mariano J. Valderrama, and Ana M. Aguilera (2006). On the characteristic functional of a doubly stochastic Poisson process: Application to a narrow-band process. Applied Mathematical Modelling, 30 (9); 1021-1032.
  21. Paula R. Bouzas, Mariano J. Valderrama, Nuria Ruiz-Fuentes and Ana M. Aguilera (2006). On the structure of the stochastic process of mortgages in Spain. Computational Statistics, 21(1); 73-89.
  22. Ana M. Aguilera (2005). Discussion about the paper ”The analysis of ordered categorical data: an overview and a survey of recent developments”by I. Liu y A. Agresti. Test, 14(1); 47-48.

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