collaborators

11 papers

stat.AP2026

Tail Dependence in EU Carbon Markets: Graphical Models of Extremes for EUA Futures

Jan Maciejowski, Manuele Leonelli

Understanding how extreme price movements propagate across financial and energy markets is critical for risk management and regulatory design in the EU Emissions Trading System (EU…

q-fin.ST2026

Crashing Together, Rallying Apart: Dynamic Conditional Tail Dependence in Cryptocurrency Markets

Rama Siva Sarwari Mallela, Manuele Leonelli

Cryptocurrency markets are prone to violent, synchronised drawdowns, challenging the claim that a basket of crypto-assets offers genuine internal diversification. Because standard…

cs.AI2026

Beyond Post-hoc Explanation: Toward Glassbox AI via Probabilistic Mediation

Manuele Leonelli

Large language models are rapidly becoming infrastructural components in high-stakes institutional settings, including public administration, legal reasoning, and healthcare, where…

stat.ML2026

Estimating Staged Event Tree Models via Hierarchical Clustering on the Simplex

Muhammad Shoaib, Eva Riccomagno, Manuele Leonelli +1

Staged tree models enhance Bayesian networks by incorporating context-specific dependencies through a stage-based structure. In this study, we present a new framework for estimatin…

stat.ME2025

Bayesian Causal Effect Estimation for Categorical Data using Staged Tree Models

Andrea Cremaschi, Manuele Leonelli, Gherardo Varando

We propose a fully Bayesian approach for causal inference with multivariate categorical data based on staged tree models, a class of probabilistic graphical models capable of repre…

stat.ME2025

Staged Event Trees for Transparent Treatment Effect Estimation

Gherardo Varando, Manuele Leonelli, Jordi Cerdà -Bautista +2

Average and conditional treatment effects are fundamental causal quantities used to evaluate the effectiveness of treatments in various critical applications, including clinical se…