Ana M. Aguilera

New approaches for scalar-on-function regression via independent component analysis

Helena Ortiz, Christian Acal, Marc Vidal, J.B. Roldán et autres

Scalar-on-function regression aims to explain a scalar response variable using a functional predictor whose observations are curves. To address the problem of estimating this model from discrete observations of the curves, several methods have been proposed in the literature, most commonly based …

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Modeling Emotional Arousal With Turbulence Measured by EEG

Marc Vidal, Nádia Moura, Bavo Van Kerrebroeck, Ana M. Aguilera et autres

Turbulence-like dynamics in brain activity have been proposed as a signature of systems operating near criticality, and may reflect changes in neuronal function associated with emotional states. In this paper, we hypothesize that motor behavior linked to emotional expression modulates turbulence, reflecting …

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A comprehensive statistical study of the post-programming conductance drift in HfO2-based memristive devices

D. Maldonado, Christian Acal, H. D. Ortiz, Ana M. Aguilera et autres

The conductance drift in HfO 2 -based memristors is a critical reliability concern that impacts in their application in non-volatile memory and neuromorphic computing integrated circuits. In this work we present a comprehensive statistical analysis of the conductance drift behavior in resistive …

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Functional independent component analysis by choice of norm: a framework for near-perfect classification

Marc Vidal, Marc Leman, Ana M. Aguilera

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Wavelet thresholding on independent subspace factorizations of spatially indexed wide functional data for robust estimation of cortical activity

Marc Vidal, Ana M. Aguilera

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Characterizing the functional ANOVA model for repeated measures via PCA application to biomechanical data

Christian Acal, Manuel Escabias, Ana M. Aguilera

Gait analysis is a branch of biomechanics where its purpose is the study of mechanical laws relating to the way the body moves from one place to another. In most cases, the data sets for human gait analysis consist of continuous recordings …

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Functional independent component analysis by choice of norm: a framework for near-perfect classification

Marc Vidal, Marc Leman, Ana M. Aguilera

We develop a theory for functional independent component analysis in an infinite-dimensional framework using Sobolev spaces that accommodate smoother functions. The notion of penalized kurtosis is introduced motivated by Silverman's method for smoothing principal components. This approach allows for a classical definition …

Carbon, nitrogen, and noble gas isotopes reveal deep volatile signatures in thermal springs in the Central Volcanic Zone (CVZ) of the Andes

Peter H. Barry, J. de Moor, Michael W. Broadley, Alan Seltzer et autres

• Carbon, noble gases and clumped N 2 isotopes data from thermal springs in the Central Volcanic Zone of the Andes suggest a dominantly crustal source of volatile elements. • Thermal spring samples with non-atmospheric He-Ne characteristics have low radiocarbon activities, indicating …

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Statfda: A User-Friendly Web Application to Analyse Curves Data from a Functional Perspective

Christian Acal, Manuel Escabias, Mariano J. Valderrama, Ana M. Aguilera

Using classical statistical techniques to analyze curves data whose behavior is clearly continuous might cause inexact results. To avoid this tricky situation, a suitable option is to carry out a functional data analysis that takes the time-dependent structure into account. However, the …

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Repeated measures in functional logistic regression

Cristhian Leonardo Urbano-León, Ana M. Aguilera, Manuel Escabias

We present a proposal to extend the functional logistic regression model –which models a binary scalar response variable from a functional predictor– to the case where the functional observations are not independent because the same functional variable is measured in the same …

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High dimensional variable selection through group Lasso for multiple function‐on‐function linear regression: A case study in PM10 monitoring

Adelia Evangelista, Christian Acal, Ana M. Aguilera, Annalina Sarra et autres

Summary Analyzing the effect of chemical and local meteorological variables over the behaviour in concentrations in the Abruzzo region (Italy), with the objective of forecasting and controlling air quality, motivates the current work. Given that the available data are curves that represent …

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Different PCA approaches for vector functional time series with applications to resistive switching processes

Christian Acal, Ana M. Aguilera, Francisco Alonso, Juan Eloy Ruiz‐Castro et autres

This paper is motivated by modeling the cycle-to-cycle variability associated with the resistive switching operation behind memristors. Although the data generated by this stochastic process are by nature current–voltage curves associated with the creation (set process) and destruction (reset process) of a …

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