175 citations · 245 across the 15 of their papers we have counts for
6 papers · 1 filter
Adaptive Smoothing Spline Estimator for the Function-on-Function Linear Regression Model
Fabio Centofanti, Antonio Lepore, Alessandra Menafoglio +2
In this paper, we propose an adaptive smoothing spline (AdaSS) estimator for the function-on-function linear regression model where each value of the response, at any domain point,…
Ridge regression with adaptive additive rectangles and other piecewise functional templates
Edoardo Belli, Simone Vantini
We propose an -based penalization algorithm for functional linear regression models, where the coefficient function is shrunk towards a data-driven shape template , which…
Measure Inducing Classification and Regression Trees for Functional Data
Edoardo Belli, Simone Vantini
We propose a tree-based algorithm for classification and regression problems in the context of functional data analysis, which allows to leverage representation learning and multip…
Smooth Lasso Estimator for the Function-on-Function Linear Regression Model
Fabio Centofanti, Matteo Fontana, Antonio Lepore +1
A new estimator, named S-LASSO, is proposed for the coefficient function of the Function-on-Function linear regression model. The S-LASSO estimator is shown to be able to increase…
Global Sensitivity and Domain-Selective Testing for Functional-Valued Responses: An Application to Climate Economy Models
Matteo Fontana, Massimo Tavoni, Simone Vantini
Understanding the dynamics and evolution of climate change and associated uncertainties is key for designing robust policy actions. Computer models are key tools in this scientific…
Conformal Prediction: a Unified Review of Theory and New Challenges
Matteo Fontana, Gianluca Zeni, Simone Vantini
In this work we provide a review of basic ideas and novel developments about Conformal Prediction -- an innovative distribution-free, non-parametric forecasting method, based on mi…