activity
20192026
most citedConformal Prediction: a Unified Review of Theory and New Challenges

175 citations · 245 across the 15 of their papers we have counts for

collaborators

17 papers

stat.ME2026

Generalized propensity score weighting for functional causal inference framework

Simone Ciardulli, Nicole Fontana, Simone Vantini +1

Estimating causal effects in observational studies requires adjustment for confounding, a task that becomes challenging when the exposure is a function observed over a continuous d…

stat.ME2023

Local inference for functional data on manifold domains using permutation tests

Niels Lundtorp Olsen, Alessia Pini, Simone Vantini

Pini and Vantini (2017) introduced the interval-wise testing procedure which performs local inference for functional data defined on an interval domain, where the output is an adju…

stat.ME2023

funLOCI: a local clustering algorithm for functional data

Jacopo Di Iorio, Simone Vantini

Nowadays, more and more problems are dealing with data with one infinite continuous dimension: functional data. In this paper, we introduce the funLOCI algorithm which allows to id…

stat.AP2023

An Evaluation of Researchers' Migration Patterns in Europe using Digital Trace Data

Jacopo Ghirri, Marta Mastropietro, Simone Vantini +2

The comprehension of the mechanisms behind the mobility of skilled workers is of paramount importance for policy making. The lacking nature of official measurements motivates the u…

stat.ME2022★ 14 cited

Conformal Prediction Bands for Two-Dimensional Functional Time Series

Niccolò Ajroldi, Jacopo Diquigiovanni, Matteo Fontana +1

Time evolving surfaces can be modeled as two-dimensional Functional time series, exploiting the tools of Functional data analysis. Leveraging this approach, a forecasting framework…

stat.CO2022

funcharts: Control charts for multivariate functional data in R

Christian Capezza, Fabio Centofanti, Antonio Lepore +3

Modern statistical process monitoring (SPM) applications focus on profile monitoring, i.e., the monitoring of process quality characteristics that can be modeled as profiles, also…