activity
20072025
most citedA hierarchical Bayesian approach to record linkage and population size problems

133 citations · 162 across the 15 of their papers we have counts for

collaborators

22 papers

stat.ME2025

The Interplay between Bayesian Inference and Conformal Prediction

Nina Deliu, Brunero Liseo

Conformal prediction has emerged as a cutting-edge methodology in statistics and machine learning, providing prediction intervals with finite-sample frequentist coverage guarantees…

stat.ME2024★ 1 cited

A Multivariate Copula-based Bayesian Framework for Doping Detection

Nina Deliu, Brunero Liseo

Doping control is an essential component of anti-doping organizations for protecting clean sports competitions. Since 2009, this mission has been complemented worldwide by the Athl…

stat.ME2024★ 2 cited

Alternative Approaches for Estimating Highest-Density Regions

Nina Deliu, Brunero Liseo

Among the variety of statistical intervals, highest-density regions (HDRs) stand out for their ability to effectively summarize a distribution or sample, unveiling its distinctive…

stat.ME2022

Inferring a population composition from survey data with nonignorable nonresponse: Borrowing information from external sources

Veronica Ballerini, Brunero Liseo

We introduce a method to make inference on the composition of a heterogeneous population using survey data, accounting for the possibility that capture heterogeneity is related to…

stat.ME2022★ 2 cited

An Extension of the Unified Skew-Normal Family of Distributions and Application to Bayesian Binary Regression

Paolo Onorati, Brunero Liseo

We consider the Bayesian binary regression model and we introduce a new class of distributions, the Perturbed Unified Skew-Normal (pSUN, henceforth), which generalizes the Unified…

stat.CO2022★ 1 cited

A Random Number Generator for the Kolmogorov Distribution

Paolo Onorati, Brunero Liseo

We discuss an acceptance-rejection algorithm for the random number generation from the Kolmogorov distribution. Since the cumulative distribution function (CDF) is expressed as a s…