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Title: Tools for robust Bayesian inference Authors:  Laura Ventura - University of Padova (Italy) [presenting]
Erlis Ruli - University of Padova (Italy)
Nicola Sartori - University of Padova (Italy)
Walter Racugno - University of Cagliari (Italy)
Abstract: The aim is to illustrate the properties and applications of the so-called robust pseudo-posterior distributions, i.e. posterior distributions derived from the combination of a pseudo-likelihood function or an unbised estimating function with suitable prior information. Examples of pseudo-likelihoods are the composite and the empirical likelihoods, while unbiased estimating functions include as special instances M-estimating functions and proper scoring rules.