1 citations · 1 across the 5 of their papers we have counts for
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Calibrated quantile prediction for Growth-at-Risk
Pietro Bogani, Matteo Fontana, Luca Neri +1
Accurate computation of robust estimates for extremal quantiles of empirical distributions is an essential task for a wide range of applicative fields, including economic policymak…
Conformal Prediction Sets for Populations of Graphs
Anna Calissano, Matteo Fontana, Gianluca Zeni +1
The analysis of data such as graphs has been gaining increasing attention in the past years. This is justified by the numerous applications in which they appear. Several methods ar…
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…
conformalInference.multi and conformalInference.fd: Twin Packages for Conformal Prediction
Paolo Vergottini, Matteo Fontana, Jacopo Diquigiovanni +2
Building on top of a regression model, Conformal Prediction methods produce distribution free prediction sets, requiring only i.i.d. data. While R packages implementing such method…