collaborators

5 papers

stat.ME2026

Community detection in small-sample ordinal regimes: A benchmarking framework for Delphi data

Yuri Calleo, Simone Di Zio, Fabrizio Maturo

The statistical modeling of consensus in Delphi data faces a critical bottleneck: the high dimensionality of questionnaire items relative to the limited sample size of expert panel…

stat.ME2026

Functional Clustering of Survival Data via Smoothed Log-Hazard Trajectories: A Risk-Dynamics Perspective

Anna De Magistris, Elvira Romano, Fabrizio Maturo

This paper investigates clustering in survival data by shifting the analytical focus from cumulative survival probabilities to instantaneous risk, as characterized by the hazard fu…

stat.AP2026

Subjective Time Deformation in Intertemporal Choice: A Functional Data Analysis Approach

Fabrizio Maturo, Salvador Cruz Rambaud, Vincenzo Li Calzi +2

Intertemporal choice data are usually summarized through scalar discount-rate parameters or fitted by predetermined parametric discount functions, although relevant information may…

cs.AI2025

ARCADIA: Scalable Causal Discovery for Corporate Bankruptcy Analysis Using Agentic AI

Fabrizio Maturo, Donato Riccio, Andrea Mazzitelli +3

This paper introduces ARCADIA, an agentic AI framework for causal discovery that integrates large-language-model reasoning with statistical diagnostics to construct valid, temporal…

stat.ML2025

Enhancing Visual Interpretability and Explainability in Functional Survival Trees and Forests

Giuseppe Loffredo, Elvira Romano, Fabrizio MAturo

Functional survival models are key tools for analyzing time-to-event data with complex predictors, such as functional or high-dimensional inputs. Despite their predictive strength,…