63 citations · 146 across the 10 of their papers we have counts for
5 papers · 1 filter
On approximate robust confidence distributions
Elena Bortolato, Laura Ventura
A confidence distribution is a complete tool for making frequentist inference for a parameter of interest based on an assumed parametric model. Indeed, it allows to reach point…
Robust confidence distributions from proper scoring rules
Erlis Ruli, Laura Ventura, Monica Musio
A confidence distribution is a distribution for a parameter of interest based on a parametric statistical model. As such, it serves the same purpose for frequentist statisticians a…
A new Bayesian discrepancy measure
Francesco Bertolino, Mara Manca, Monica Musio +2
The aim of this article is to make a contribution to the Bayesian procedure of testing precise hypotheses for parametric models. For this purpose, we define the Bayesian Discrepanc…
Objective Bayesian inference with proper scoring rules
Federica Giummolè, Valentina Mameli, Erlis Ruli +1
Standard Bayesian analyses can be difficult to perform when the full likelihood, and consequently the full posterior distribution, is too complex and difficult to specify or if rob…
Robust approximate Bayesian inference
Erlis Ruli, Nicola Sartori, Laura Ventura
We discuss an approach for deriving robust posterior distributions from -estimating functions using Approximate Bayesian Computation (ABC) methods. In particular, we use -est…