20 citations · 57 across the 19 of their papers we have counts for
25 papers
Transfert learning and adaptive LASSO quantile
Gabriela Ciuperca
We propose for a quantile regression an estimation method for transferring knowledge using two penalties based on an estimator obtained from a source database. The proposed t…
Right-censored models on massive data
Gabriela Ciuperca
This article considers the automatic selection problem of the relevant explanatory variables in a right-censored model on a massive database. We propose and study four aggregated c…
Right-censored models by the expectile method
Gabriela Ciuperca
Based on the expectile loss function and the adaptive LASSO penalty, the paper proposes and studies the estimation methods for the accelerated failure time (AFT) model. In this app…
Smoothed empirical likelihood estimation and automatic variable selection for an expectile high-dimensional model with possibly missing response variable
Gabriela Ciuperca
We consider a linear model which can have a large number of explanatory variables, the errors with an asymmetric distribution or some values of the explained variable are missing a…
Automatic selection by penalized asymmetric Lq-norm in an high-dimensional model with grouped variables
Angelo Alcaraz, Gabriela Ciuperca
The paper focuses on the automatic selection of the grouped explanatory variables in an high-dimensional model, when the model errors are asymmetric. After introducing the model an…
Real-time detection of a change-point in a linear expectile model
Gabriela Ciuperca
In the present paper we address the real-time detection problem of a change-point in the coefficients of a linear model with the possibility that the model errors are asymmetrical…