Robot-assisted surgery is rapidly developing in the medical field, and t...
The comprehension of the mechanisms behind the mobility of skilled worke...
Objective: Accurate visual classification of bladder tissue during
Trans...
We propose a statistical emulator for a climate-economy deterministic
in...
Conformal Prediction (CP) is a versatile nonparametric framework used to...
The vast amount of data produced everyday (so-called 'digital traces') a...
Building on top of a regression model, Conformal Prediction methods prod...
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...
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...
In this work we present a clustering technique called multi-level
confor...