We use data from 107 Italian provinces to characterize and compare morta...
Motif discovery is gaining increasing attention in the domain of functio...
Functional regression analysis is an established tool for many contempor...
This paper characterizes the impact of serial dependence on the
non-asym...
We consider functional data where an underlying smooth curve is composed...
In this paper we characterize the performance of venture capital-backed ...
"Success" of firms in venture capital markets is hard to define, and its...
We propose a general approach to handle data contaminations that might
d...
In this paper we propose ϵ-Consistent Mixup (ϵmu).
ϵmu is a data-based s...
We propose a novel approach to the statistical analysis of simulation mo...
We investigate patterns of COVID-19 mortality across 20 Italian regions ...
Sparse estimation methods capable of tolerating outliers have been broad...
Feature selection is an important and active research area in statistics...
We describe in this report our studies to understand the relationship be...
The rapid dynamics of COVID-19 calls for quick and effective tracking of...
Scientific discovery is shaped by scientists' choices and thus by their
...
In the last two decades several biclustering methods have been developed...
We develop a new method to locally cluster curves and discover functiona...
Because of continuous advances in mathematical programing, Mix Integer
O...