1 citations · 1 across the 5 of their papers we have counts for
5 papers
Non-parametric Causal Discovery for EU Allowances Returns Through the Information Imbalance
Cristiano Salvagnin, Vittorio del Tatto, Maria Elena De Giuli +2
We propose to use a recently introduced non-parametric tool named Differentiable Information Imbalance (DII) to identify variables that are causally related -- potentially through…
Bayesian Dynamic Generalized Additive Model for Mortality during COVID-19 Pandemic
Wei Zhang, Antonietta Mira, Ernst C. Wit
While COVID-19 has resulted in a significant increase in global mortality rates, the impact of the pandemic on mortality from other causes remains uncertain. To gain insight into t…
Investigating the price determinants of the European Emission Trading System: a non-parametric approach
Cristiano Salvagnin, Aldo Glielmo, Maria Elena De Giuli +1
The European carbon market plays a pivotal role in the European Union's ambitious target of achieving carbon neutrality by 2050. Understanding the intricacies of factors influencin…
Likelihood distortion and Bayesian local robustness
Antonio Di Noia, Fabrizio Ruggeri, Antonietta Mira
Robust Bayesian analysis has been mainly devoted to detecting and measuring robustness w.r.t. the prior distribution. Many contributions in the literature aim to define suitable cl…
Scale adaptive and robust intrinsic dimension estimation via optimal neighbourhood identification
Antonio Di Noia, Iuri Macocco, Aldo Glielmo +2
The Intrinsic Dimension (ID) is a key concept in unsupervised learning and feature selection, as it is a lower bound to the number of variables which are necessary to describe a sy…