3 papers
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.AP2026
Data-Driven Strategies for Detecting and Sampling Misrepresented Subgroups
G. Lancia, F. Mecatti, E. Riccomagno
Economic policy research frequently examines population well-being, with a particular focus on the relationships between unequal living conditions, low educational attainment, and…
math.ST2025
Markov Combinations of Discrete Statistical Models
Orlando Marigliano, Eva Riccomagno
Markov combination is an operation that takes two statistical models and produces a third whose marginal distributions include those of the original models. Building upon and exten…