Ana M. Aguilera - researchr alias

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Viewing Publication 1 - 24 from 24

2023

Basis expansion approaches for functional analysis of variance with repeated measuresChristian Acal, Ana M. Aguilera. adac, 17(2):291-321, June 2023. [doi]

2022

logitFD: an R package for functional principal component logit regressionManuel Escabias, Ana M. Aguilera, Christian Acal. rjour, 14(3):231-248, December 2022. [doi]

2021

2020

Reversible dielectric breakdown in h-BN stacks: a statistical study of the switching voltagesJuan Bautista Roldán, D. Maldonado, Francisco Jiménez-Molinos, Christian Acal, Juan Eloy Ruiz-Castro, Ana M. Aguilera, F. Hui, J. Kong, Y. Shi, X. Jing, C. Wen, Marco Antonio Villena, Mario Lanza. irps 2020: 1-5 [doi]

2019

Phase-type distributions for studying variability in resistive memoriesC. Acal, J. E. Ruiz-Castro, Ana M. Aguilera, F. Jiménez-Molinos, J. B. Roldán. jcam, 345:23-32, 2019. [doi]

Stochastic modeling of Random Access Memories reset transitionsM. Carmen Aguilera-Morillo, Ana M. Aguilera, Francisco Jimenez-Molinos, Juan B. Roldán. mcs, 159:197-209, 2019. [doi]

2017

Modelling Resistive Random Access Memories by means of Functional Principal Component AnalysisAna M. Aguilera, M. C. Aguilera-Morillo, F. Jiménez-Molinos, Juan Bautista Roldán. massdata 2017: 64-73

2015

P-spline Estimation of Functional Classification Methods for Improving the Quality in the Food IndustryM. Carmen Aguilera-Morillo, Ana M. Aguilera. cssc, 44(10):2513-2534, 2015. [doi]

2014

Functional PCA and Base-Line Logit ModelsManuel Escabias, Ana M. Aguilera, M. Carmen Aguilera-Morillo. classification, 31(3):296-324, 2014. [doi]

2008

Forecasting binary longitudinal data by a functional PC-ARIMA modelAna M. Aguilera, Manuel Escabias, Mariano J. Valderrama. csda, 52(6):3187-3197, 2008. [doi]

Discussion of different logistic models with functional data. Application to Systemic Lupus ErythematosusAna M. Aguilera, Manuel Escabias, Mariano J. Valderrama. csda, 53(1):151-163, 2008. [doi]

2007

Functional PLS logit regression modelManuel Escabias, Ana M. Aguilera, Mariano J. Valderrama. csda, 51(10):4891-4902, 2007. [doi]

Computational considerations in functional principal component analysisFrancisco A. Ocaña, Ana M. Aguilera, Manuel Escabias. cstat, 22(3):449-465, 2007. [doi]

2006

2003

Derivation of a State-Space Model by Functional Data AnalysisMariano J. Valderrama, Mónica Ortega-Moreno, Pedro González, Ana M. Aguilera. cstat, 18(3):533-546, 2003. [doi]

2002

Functional Principal Component Modelling of the Intensity of a Doubly Stochastic Poisson ProcessAna M. Aguilera, Paula R. Bouzas, Nuria Ruiz-Fuentes. compstat 2002: 373-376 [doi]

Forecasting PC-ARIMA Models for Functional DataMariano J. Valderrama, Francisco A. Ocaña, Ana M. Aguilera. compstat 2002: 25-36 [doi]

1999

Forecasting time series by functional PCA. Discussion of several weighted approachesAna M. Aguilera, Francisco A. Ocaña, Mariano J. Valderrama. cstat, 14(3):443-467, 1999. [doi]

1998

A Wavelet Approach to Functional Principal Component AnalysisFrancisco A. Ocaña, Olga Valenzuela, Ana M. Aguilera. compstat 1998: 413-418 [doi]

Time Series Forecasting by Principal Component MethodsMariano J. Valderrama, Ana M. Aguilera, Juan Carlos Ruiz-Molina. compstat 1998: 137-146 [doi]

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