| Robust principal component analysis for functional data N Locantore, JS Marron, DG Simpson, N Tripoli, JT Zhang, KL Cohen, ... Test 8 (1), 1-73, 1999 | 369 | 1999 |
| Using principal components for estimating logistic regression with high-dimensional multicollinear data AM Aguilera, M Escabias, MJ Valderrama Computational Statistics & Data Analysis 50 (8), 1905-1924, 2006 | 223 | 2006 |
| Principal component estimation of functional logistic regression: discussion of two different approaches M Escabias, AM Aguilera, MJ Valderrama Journal of Nonparametric Statistics 16 (3-4), 365-384, 2004 | 153 | 2004 |
| Functional PLS logit regression model M Escabias, AM Aguilera, MJ Valderrama Computational Statistics & Data Analysis 51 (10), 4891-4902, 2007 | 90 | 2007 |
| Modeling environmental data by functional principal component logistic regression M Escabias, AM Aguilera, MJ Valderrama Environmetrics: The official journal of the International Environmetrics …, 2005 | 84 | 2005 |
| Functional principal components analysis by choice of norm FA Ocaña, AM Aguilera, MJ Valderrama Journal of Multivariate Analysis 71 (2), 262-276, 1999 | 70 | 1999 |
| An approximated principal component prediction model for continuous‐time stochastic processes AM Aguilera, FA Ocaña, MJ Valderrama Applied Stochastic Models and Data Analysis 13 (2), 61-72, 1997 | 58 | 1997 |
| Using basis expansions for estimating functional PLS regression: applications with chemometric data AM Aguilera, M Escabias, C Preda, G Saporta Chemometrics and Intelligent Laboratory Systems 104 (2), 289-305, 2010 | 57 | 2010 |
| Modelling the mean of a doubly stochastic Poisson process by functional data analysis PR Bouzas, MJ Valderrama, AM Aguilera, N Ruiz-Fuentes Computational Statistics & Data Analysis 50 (10), 2655-2667, 2006 | 50 | 2006 |
| Computational considerations in functional principal component analysis FA Ocaña, AM Aguilera, M Escabias Computational Statistics 22 (3), 449-465, 2007 | 48 | 2007 |
| Tablas de contingencia bidimensionales AMA del Pino La Muralla, 2001 | 47 | 2001 |
| Approximation of estimators in the PCA of a stochastic process using B-splines AM Aguilera, R Gutiérrez, MJ Valderrama Communications in Statistics-Simulation and Computation 25 (3), 671-690, 1996 | 42 | 1996 |
| Penalized spline approaches for functional logit regression MC Aguilera-Morillo, AM Aguilera, M Escabias, MJ Valderrama Test 22 (2), 251-277, 2013 | 41 | 2013 |
| Forecasting time series by functional PCA. Discussion of several weighted approaches AM Aguilera, FA Ocaña, MJ Valderrama Computational Statistics 14 (3), 443-467, 1999 | 40 | 1999 |
| Predicción Dinámica Mediante Análisis de Datos Funcionales: Introducción a Los Modelos PCP MJ Valderrama, AM Aguilera, FA Ocaña La Muralla, 2000 | 39 | 2000 |
| Forecasting with unequally spaced data by a functional principal component approach AM Aguilera, FA Ocaña, MJ Valderrama Test 8 (1), 233-253, 1999 | 36 | 1999 |
| Comparative study of different B-spline approaches for functional data AM Aguilera, MC Aguilera-Morillo Mathematical and Computer Modelling 58 (7-8), 1568-1579, 2013 | 35 | 2013 |
| Penalized PCA approaches for B-spline expansions of smooth functional data AM Aguilera, MC Aguilera-Morillo Applied Mathematics and Computation 219 (14), 7805-7819, 2013 | 33 | 2013 |
| Discussion of different logistic models with functional data. Application to Systemic Lupus Erythematosus AM Aguilera, M Escabias, MJ Valderrama Computational statistics & data analysis 53 (1), 151-163, 2008 | 32 | 2008 |
| Stochastic modelling for evolution of stock prices by means of functional principal component analysis AM Aguilera, FA Ocaña, MJ Valderrama Applied Stochastic Models in Business and Industry 15 (4), 227-234, 1999 | 32 | 1999 |
