2 citations · 4 across the 9 of their papers we have counts for
9 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…
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 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…
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…
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…