95 citations · 192 across the 22 of their papers we have counts for
24 papers
ROC curve analysis for functional markers
Ana M. Bianco, Graciela Boente, Juan Carlos Pardo-Fernández
Functional markers become a more frequent tool in medical diagnosis. In this paper, we aim to define an index allowing to discriminate between populations when the observations are…
Robust Nonparametric Regression for Compositional Data: the Simplicial--Real case
Ana M. Bianco, Graciela Boente, Wenceslao González--Manteiga +2
Statistical analysis on compositional data has gained a lot of attention due to their great potential of applications. A feature of these data is that they are multivariate vectors…
Robust estimation of heteroscedastic regression models: a brief overview and new proposals
Conceição Amado, Ana M. Bianco, Graciela Boente +1
We collect robust proposals given in the field of regression models with heteroscedastic errors. Our motivation stems from the fact that the practitioner frequently faces the confl…
Threshold detection under a semiparametric regression model
Graciela Boente, Florencia Leonardi, Daniela Rodriguez +1
Linear regression models have been extensively considered in the literature. However, in some practical applications they may not be appropriate all over the range of the covariate…
Robust estimation for functional logistic regression models
Graciela Boente, Marina Valdora
This paper addresses the problem of providing robust estimators under a functional logistic regression model. Logistic regression is a popular tool in classification problems with…
Robust estimation for functional quadratic regression models
Graciela Boente, Daniela Parada
Functional quadratic regression models postulate a polynomial relationship between a scalar response rather than a linear one. As in functional linear regression, vertical and spec…
Robust tests for equality of regression curves based on characteristic functions
Graciela Boente, Juan Carlos Pardo-Fernández
This paper focuses on the problem of testing the null hypothesis that the regression functions of several populations are equal under a general nonparametric homoscedastic regressi…
Estimators for covariate-adjusted ROC curves with missing biomarkers values
Ana M. Bianco, Graciela Boente, Wenceslao González-Manteiga +1
In this paper, we present three estimators of the ROC curve when missing observations arise among the biomarkers. Two of the procedures assume that we have covariates that allow to…
Asymptotic behaviour of penalized robust estimators in logistic regression when dimension increases
Ana M. Bianco, Graciela Boente, Gonzalo Chebi
Penalized estimators for logistic regression models have been previously study for fixed dimension in order to obtain sparse statistical models and automatic variable selection…
A robust spline approach in partially linear additive models
Graciela Boente, Alejandra Mercedes Martinez
Partially linear additive models generalize linear ones since they model the relation between a response variable and covariates by assuming that some covariates have a linear rela…
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…
Penalized robust estimators in logistic regression with applications to sparse models
Ana M. Bianco, Graciela Boente, Gonzalo Chebi
Sparse covariates are frequent in classification and regression problems and in these settings the task of variable selection is usually of interest. As it is well known, sparse st…
The spatial sign covariance operator: Asymptotic results and applications
Graciela Boente, Daniela Rodriguez, Mariela Sued
Due to the increasing recording capability, functional data analysis has become an important research topic. For functional data the study of outlier detection and/or the developme…
Robust estimators in a generalized partly linear regression model under monotony constraints
Graciela Boente, Daniela Rodriguez, Pablo Vena
In this paper, we consider the situation in which the observations follow an isotonic generalized partly linear model. Under this model, the mean of the responses is modelled, thro…
Robust estimation in single index models when the errors have a unimodal density with unknown nuisance parameter
Claudio Agostinelli, Ana M. Bianco, Graciela Boente
In this paper, we propose a robust profile estimation method for the parametric and nonparametric components of a single index model when the errors have a strongly unimodal densit…
Marginal integration estimators for additive models
Graciela Boente, Alejandra Martinez
Additive regression models have a long history in multivariate nonparametric regression. They provide a model in which each regression function depends only on a single explanatory…
Testing equality between several populations covariance operators
Graciela Boente, Daniela Rodriguez, Mariela Sued
In many situations, when dealing with several populations, equality of the covariance operators is assumed. An important issue is to study if this assumption holds before making ot…
Robust functional principal components: A projection-pursuit approach
Juan Lucas Bali, Graciela Boente, David E. Tyler +1
In many situations, data are recorded over a period of time and may be regarded as realizations of a stochastic process. In this paper, robust estimators for the principal componen…
Robust estimates in generalized partially linear models
Graciela Boente, Xuming He, Jianhui Zhou
In this paper, we introduce a family of robust estimates for the parametric and nonparametric components under a generalized partially linear model, where the data are modeled by $…