95 citations · 192 across the 22 of their papers we have counts for
6 papers · 1 filter
Robust functional principal components for sparse longitudinal data
Graciela Boente, Matias Salibian-Barrera
In this paper we review existing methods for robust functional principal component analysis (FPCA) and propose a new method for FPCA that can be applied to longitudinal data where…
Robust smoothed canonical correlation analysis for functional data
Graciela Boente, Nadia Kudraszow
This paper provides robust estimators for the first canonical correlation and directions of random elements on Hilbert separable spaces by using robust association and scale measur…
A robust approach for ROC curves with covariates
Ana M. Bianco, Graciela Boente, Wenceslao Gonzalez-Manteiga
The Receiver Operating Characteristic (ROC) curve is a useful tool that measures the discriminating power of a continuous variable or the accuracy of a pharmaceutical or medical te…
Principal points and elliptical distributions from the multivariate setting to the functional case
Juan Lucas Bali, Graciela Boente
The principal points of a random vector are defined as a set of points which minimize the expected squared distance between and the nearest point in t…
Robust estimation for semi-functional linear regression models
Graciela Boente, Matias Salibian-Barrera, Pablo Vena
Semi-functional linear regression models postulate a linear relationship between a scalar response and a functional covariate, and also include a non-parametric component involving…
Robust location estimators in regression models with covariates and responses missing at random
Ana M. Bianco, Graciela Boente, Wenceslao González-Manteiga +1
This paper deals with robust marginal estimation under a general regression model when missing data occur in the response and also in some of covariates. The target is a marginal l…