Pini and Vantini (2017) introduced the interval-wise testing procedure w...
Nowadays, more and more problems are dealing with data with one infinite...
The comprehension of the mechanisms behind the mobility of skilled worke...
Conformal Prediction (CP) is a versatile nonparametric framework used to...
Modern statistical process monitoring (SPM) applications focus on profil...
Building on top of a regression model, Conformal Prediction methods prod...
The development of data acquisition systems is facilitating the collecti...
Uncertainty quantification in forecasting represents a topic of great
im...
Motivated by the pressing request of methods able to create prediction s...
Functional Data Analysis represents a field of growing interest in
stati...
In this paper, we propose an adaptive smoothing spline (AdaSS) estimator...
We propose an L_2-based penalization algorithm for functional linear
reg...
We propose a tree-based algorithm for classification and regression prob...
A new estimator, named as S-LASSO, is proposed for the coefficient funct...
Complex computational models are increasingly used by business and
gover...
In this work we provide a review of basic ideas and novel developments a...
Since Benjamini and Hochberg introduced false discovery rate (FDR) in th...