activity
20192026
most citedBayesian estimation of probabilistic sensitivity measures

18 citations · 19 across the 6 of their papers we have counts for

collaborators
Showing stat.MEShow all

5 papers · 1 filter

stat.ME2026

A lightweight framework for characterising extreme precipitation events in climate ensembles

Dáire Healy, Isadora Antoniano-Villalobos, Claudia Collarin +3

This article summarises the methods used by the team ``Ca' Foscari" for the EVA 2025 Data Challenge. The questions of the challenge concern the estimation of exceedance probabiliti…

stat.ME2025★ 1 cited

Bayesian Mixture Models for Heterogeneous Extremes

Viviana Carcaiso, Miguel de Carvalho, Ilaria Prosdocimi +1

The conventional use of the Generalized Extreme Value (GEV) distribution to model block maxima may be inappropriate when extremes are actually structured into multiple heterogeneou…

stat.ME2023

A multidimensional objective prior distribution from a scoring rule

Isadora Antoniano-Villalobos, Cristiano Villa, Stephen G. Walker

The construction of objective priors is, at best, challenging for multidimensional parameter spaces. A common practice is to assume independence and set up the joint prior as the p…

stat.ME2019★ 18 cited

Bayesian estimation of probabilistic sensitivity measures

Isadora Antoniano-Villalobos, Emanuele Borgonovo, Xuefei Lu

Computer experiments are becoming increasingly important in scientific investigations. In the presence of uncertainty, analysts employ probabilistic sensitivity methods to identify…

stat.ME2019

Informative extended Mallows priors in the Bayesian Mallows model

Marta Crispino, Isadora Antoniano-Villalobos

The aim of this work is to study the problem of prior elicitation for the Mallows model with Spearman's distance, a popular distance-based model for rankings or permutation data. P…