Curriculum Vitae. Ana M. Aguilera Octubre de Profesional Details 2. Personal Details 2. Studies 2. Teaching 2. Main Research Fields 2

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1 Curriculum Vitae Ana M. Aguilera Octubre de 2008 Índice Profesional Details 2 Personal Details 2 Studies 2 Teaching 2 Main Research Fields 2 Summary of CV 3 Research Projects 3 Recent papers in JCR journals 4 Books 6 Software 6 Invited Talks 6 Ph.D. Supervisor 7 Editorial Activity 7 Stays in International Research Centers 7 Reviewer of Journals 7 1

2 Profesional Details Associate Professor of Statistics University of Granada Department of Statistics and O.R. Faculty of Sciences Campus de Fuentenueva, s/n Granada. SPAIN Phone: Fax: Homepage: aaguiler/ Personal Details Gender: Female Date of birth: 16th of October, 1967 Place of birth: Barcelona, Spain Present Citizenship: Spanish Studies Degree in Mathematics (Statistics and Operations Research). Faculty of Sciences. University of Granada Ph.D. in Mathematics. Faculty of Sciences. University of Granada. Ph.D. Thesis. A pproximation methods for estimating the PCA of a stochastic process Teaching Probability, Biostatistics, Categorical data analysis, Forecasting models, Functional data analysis Main Research Fields Dynamic forecasting models Categorical data analysis Computational statistics Functional data analysis: functional principal components analysis, functional linear models, functional partial least squares regression, functional logit models, functional generalized linear models 2

3 Summary of CV Author of 45 research papers, 24 of them in JCR journals Author of 48 communications in statistical symposiums, 5 of them as invited papers Member of the research team of 11 research projects, 4 of them as director of the research Supervisor of 3 Ph.D. H-Index = 7 See below the most important contributions Research Projects As director of the research team 1. Implementing Methodologies for modelling temporal data of public statistics in Andalucía. Instituto de Estadística de Andalucía ( / ) 2. Principal components prediction models for temporal data. Application to Spanish Stock Market. Plan Nacional I+D de la Dirección General de Enseñanza Superior del MEC ( / ) 3. Biomedical applications of new methodologies to forecast categorical response variables from functional data. Consejería de innnovación, ciencia y empresa de la Junta de Andalucía ( / ) 4. Desarrollo de Aplicaciones Psicomédicas Mediante Modelos de Regresión Funcional. Plan Nacional de I+D, Dirección General de Investigación, Ministerio de Educación y Ciencia ( a ) As member of the research team 1. Methodological design of the structure and activity of the tourist area in Andalucía. Instituto de Estadística de Andalucía. ( / ) 2. Development of dynamic forecasting econometrical models for the evolution of tourism in Andalucía. Plan Nacional I+D de la DGI- CYT del MEC ( / ) 3. Development of dynamic forecasting econometrical models for the evolution of tourism in Andalucía (second part). Plan Nacional I+D de la DGICYT del MEC ( / ) 4. Stochastic modelling and multidimensional data analysis. DGICYT, Acciones Integradas Hispano Francesas ( / ) 3

4 5. Dynamic forecasting stochastic models for functional data analysis with environmental applications. Plan Nacional I+D de la Dirección General de Enseñanza Superior del MEC ( / ) 6. Stochastic modelling and forecasting with functional data. Ministerio de Ciencia y Tecnología ( / ) Recent papers in JCR journals 1. Ana M. Aguilera, Ramón Gutiérrez, Francisco A. Ocaña and Mariano J. Valderrama (1995). Computational approaches to estimation in the PCA of a stochastic process. Applied Sochastic Models and Data Analysis, 11(4); Ana M. Aguilera, Ramón Gutiérrez and Mariano J. Valderrama (1996). Approximation of estimators of the PCA of a stochastic process using B-splines. Communications in Statistics (Simulation and Computation), 25(3); Mariano J. Valderrama and Ana M. Aguilera (1997). A normality criterion for random vectors based on independence. Statistics and Probability Letters, 33; Ana M. Aguilera, Francisco A. Ocaña and Mariano J. Valderrama (1997). An approximated principal component prediction model for continuoustime stochastic processes. Applied Sochastic Models and Data Analysis, 13; Ana M. Aguilera, Francisco A. Ocaña and Mariano J. Valderrama (1999). Forecasting time series by functional PCA. Discussion of several weighted approaches. Computational Statistics 14; Francisco A. Ocaña, Ana M. Aguilera and Mariano J. Valderrama (1999). Functional principal components analysis by choice of norm. Journal of Multivariate Analysis 71(2); Ana M. Aguilera, Francisco A. Ocaña and Mariano J. Valderrama (1999). Stochastic modelling for evolution of stock prices by means of functional principal component analysis. Applied Sochastic Models in Business and Industry, 15(4); Ana M. Aguilera, Francisco A. Ocaña and Mariano J. Valderrama (1999). Forecasting with unequally spaced data by a functional principal component approach. Test (A Journal of the Spanish Society of Statistics and O.R.), 8(1); Mariano J. Valderrama and Ana M. Aguilera (1999). Discussion about the paper Robust principal component analysis for functional data by Locantore et al. Test (A Journal of the Spanish Society of Statistics and O.R.), 8;

5 10. Paula R. Bouzas, Ana M. Aguilera y Mariano J. Valderrama (2002). Forecasting a class of doubly stochastic Poisson processes. Statistical papers, 43(4); Mariano J. Valderrama, Mónica Ortega, Pedro González y Ana M. Aguilera (2003). Derivation of a state-space model by functional data analysis. Computacional Statistics, 18; Manuel Escabias, Ana M. Aguilera y Mariano J. Valderrama (2004). Principal component estimation of functional logistic regression: discussion of two different approaches. Journal of Nonparametric Statistics, 16 (3-4); Paula R. Bouzas, Mariano J. Valderrama y Ana M. Aguilera (2004). A theoretical note on the distribution of a filtered compound doubly stochastic poisson process. Applied Mathematical Modelling, 28(8); Manuel Escabias, Ana M. Aguilera y Mariano J. Valderrama (2005). Modeling environmental data by functional principal component logistic regression. Environmetrics, 16 (1); 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); Ana M. Aguilera, M. Escabias y Mariano J. Valderrama (2006). Using principal components for estimating logistic regression with high dimensional multicollinear data. Computational Statistics and Data Analysis, 50; Paula R. Bouzas, Mariano J. Valderrama, Nuria Ruiz-Fuentes y Ana M. Aguilera (2006). Modelling the mean of a doubly stochastic Poisson process by functional data analysis. Computational Statistics and Data Analysis, 50; Paula R. Bouzas, Mariano J. Valderrama, y 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); Paula R. Bouzas, Mariano J. Valderrama, Nuria Ruiz-Fuentes y Ana M. Aguilera (2006). On the structure of the stochastic process of mortgages in Spain. Computational Statistics, 21(1); Manuel Escabias, Ana M. Aguilera and M.J. Valderrama (2007). Functional PLS logit regression. Computational Statistics and Data Analysis, 51, Francisco Ocaña, Ana M. Aguilera y Manuel Escabias (2007). Computational considerations in estimating functional principal component analysis. Computational Statistics, 22 (3), Ana M. Aguilera, Manuel Escabias y Mariano J. Valderrama (2008). Forecasting binary longitudinal data by a functional PC-ARIMA model. Computational Statistics and Data Analysis, 52(6),

6 23. Francisco Ocaña, Mariano J. Valderrama y Ana M. Aguilera (2008). A dynamic regression model for air pollen concentration. Stochastic Environmental Research and Risk Assessment, 22(1), Ana M. Aguilera, Manuel Escabias y Mariano J. Valderrama (2008). Discussion of different logistic models with functional data. Application to Systemic Lupus Erythematosus. Computational Statistics and Data Analysis, 53(1), Books 1. Mariano J. Valderrama, Ana M. Aguilera y Francisco A. Ocaña (2000). Predicción dinámica mediante análisis de datos funcionales (Colección Cuadernos de Estadística, 9). Ed. La muralla, Madrid 2. Ana M. Aguilera (2001). Tablas de contingencia bidimensionales (Colección Cuadernos de Estadística, 15). La muralla, Madrid 3. Ana M. Aguilera (2006). Modelización de tablas de contingencia multidimensionales (Colección Cuadernos de Estadística, 33). La muralla, Madrid Software Francisco A. Ocaña, Ana M. Aguilera y Mariano J. Valderrama. System for principal component modelling of stochastic processes (SMCP2) (Coded in Turbo Pascal by using Object oriented Programming /1.5MB size) Invited Talks Time series forecasting by principal component methods. Thirteenth International Symposium on COMPSTAT. Proceedings in COMPSTAT 1998 (R. Payne and P. Green, eds.), Physica-Verlag, 1998, Predicción Dinámica de un Proceso Estocástico mediante Análisis en Componentes Principales. I Reunión Nacional de Predicción Dinámica. Libro de actas (M.J. Valderrama, ed.), 1995, A wavelet approximation to functional principal component prediction models. Institut National de la Recherche Agronomique (INRA), Toulouse, Francia (Invitation of Prof. Hervé Cardot), 1999 Modelos de predicción ARIMA-AFCP para datos funcionales. IV Reunión de trabajo en Predicción dinámica. Libro de actas, 2001 Forecasting PC-ARIMA models for functional data. 15th International Symposium on COMPSTAT. Proceedings in Computational Statistics 2002 (W. Härdle and B. Rönz, eds), Physica-Verlag, 2002,

7 Forecasting binary longitudinal data by a PC-ARIMA model. XXI International Symposium on ASMDA. Actas (J. Janssen and P. Lenca, editors) en web Principal component logit regression. Conservatoire National des Arts et Métiers (Invitation of Prof. Gilbert Saporta), 2006 Using PLS regression for estimating a functional ordinal response model International Workshop on Applied Probability (www.imac.utc.friwap2008) Ph.D. Supervisor Alternativas Geométricas en el ACP de una Variable Aleatoria Hilbertiana (Author: Francisco A. Ocaña Lara, Directors: Mariano J. Valderrama and Ana M. Aguilera). Faculty of Sciences. University of Granada, 1996 Predicción con Modelos Estocásticos de Tipo Poissoniano (Author: Paula Rodríguez Bouzas, Directors: Mariano J. Valderrama and Ana M. Aguilera). Faculty of Sciences. University of Granada, 1999 Reducción de dimensión en Regresión Logística Funcional (Author: Manuel Escabias Machuca, Director: Ana M. Aguilera). Faculty of Sciences. University of Granada, 2002 Editorial Activity Associate editor of the JCR journal Çomputational Statisticss published by Springer-Verlag (from ) Associate editor of the new journal Recent Patents on Computer Sciences published by Bentham Science Publishers(from ) Stays in International Research Centers Conservatoire National des Arts et Métiers (CNAM). Chaire de Statistique Apliquée. Paris (Francia) ( / ). Direct invitation of Prof. Gilbert Saporta for researching on different topics related with functional data analysis CERIM. Department of Statistics. Faculty of Medicine. Lille (Francia) ( a ). Direct invitation of Prof. Cristian Preda for researching on Functional PLS regression 7

8 Reviewer of Journals Applied Stochastic Models in Business and Industry Test Journal of Statistical Planning and Inference Computational Statistics Computational Statistics and data Analysis Statistics in Medicine 8

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