3 papers
math.ST2025
Bootstrap-based tests for the total time on test and the excess wealth orders
Tommaso Lando, Sirio Legramanti
Given a pair of non-negative random variables and , we introduce a class of nonparametric tests for the null hypothesis that dominates in the total time on test orde…
stat.ME2025
Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution
Luca Aiello, Raffaele Argiento, Sirio Legramanti +1
Air pollution is a major global health hazard, with fine particulate matter (PM10) linked to severe respiratory and cardiovascular diseases. Hence, analyzing and clustering spatio-…
stat.ME2025
Concentration of discrepancy-based approximate Bayesian computation via Rademacher complexity
Sirio Legramanti, Daniele Durante, Pierre Alquier
There has been increasing interest on summary-free solutions for approximate Bayesian computation (ABC) which replace distances among summaries with discrepancies between the empir…