activity
20132023
most citedImproving the autodependogram using the Kulback-Leibler divergence

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2023★ 1 cited

The generalized hyperbolic family and automatic model selection through the multiple-choice LASSO

Luca Bagnato, Alessio Farcomeni, Antonio Punzo

We revisit the generalized hyperbolic (GH) distribution and its nested models. These include widely used parametric choices like the multivariate normal, skew-t, Laplace, and sever…

stat.ME2022★ 1 cited

Asymmetric Laplace scale mixtures for the distribution of cryptocurrency returns

Antonio Punzo, Luca Bagnato

Recent studies about cryptocurrency returns show that its distribution can be highly-peaked, skewed, and heavy-tailed, with a large excess kurtosis. To accommodate all these peculi…

stat.ME2020

The multivariate tail-inflated normal distribution and its application in finance

Antonio Punzo, Luca Bagnato

This paper introduces the multivariate tail-inflated normal (MTIN) distribution, an elliptical heavy-tails generalization of the multivariate normal (MN). The MTIN belongs to the f…

stat.ME2019

Unconstrained representation of orthogonal matrices with application to common principle components

Luca Bagnato, Antonio Punzo

Many statistical problems involve the estimation of a orthogonal matrix . Such an estimation is often challenging due to the orthonormality con…

stat.ME2013★ 2 cited

Improving the autodependogram using the Kulback-Leibler divergence

Luca Bagnato, Lucio De Capitani, Antonio Punzo

The autodependogram is a graphical device recently proposed in the literature to analyze autodependencies. It is defined computing the classical Pearson chi-square statistics of in…