In Bayesian nonparametric inference, random discrete probability measures are commonly used as priors within hierarchical mixture models for density estimation and for inference on the clustering of the data. Recently it has been shown that they can also be exploited in species sampling...

Move-to-front rule is a heuristic updating a list of n items according to requests. Items are required with unknown probabilities (or ppopularities). The induced Markov chain is known to be ergodic [4]. One main problem is the study of the distribution of the search cost defined as the position...

The definition of vectors of dependent random probability measures is a topic of interest in applications to Bayesian statistics. They, indeed, represent dependent nonparametric prior distributions that are useful for modelling observables for which specific covariate values are known. In this...

The paper proposes a new nonparametric prior for two–dimensional vectors of survival functions (S1, S2). The definition we introduce is based on the notion of L´evy copula and it will be used to model, in a nonparametric Bayesian framework, two–sample survival data. Such an application will...

In Bayesian nonparametric inference, random discrete probability measures are commonly used as priors within hierarchical mixture models for density estimation and for inference on the clustering of the data. Recently it has been shown that they can also be exploited in species sampling...

The paper presents an Agent-Based extension of Nelson-Winter model of schumpeterian competition. The original version did not provide any insight about the direction of firms’ innovative activities and of technological change as a whole. As a result, it lacked an explicit structure governing...

We study the housing market using a partial “dis”-equilibrium model in which the rational expectations hypothesis is relaxed in favor of an agent-based approach. The chartist-fundamentalist mechanism allows for the behavioral foundation of the expectations, the endogenous development of...

This paper aims at exploring and evaluating the geographic distribution of gender inequality across Italian regions. The aim of the analysis is two-fold. First we build a composite indicator of gender inequality at the regional level for Italy by applying the methodology developed by the World...

We develop a stochastic general equilibrium model in which maintenance endogenously affects the capital depreciation rate. The model performs well in generating maintenance series that match closely existing survey-based measures for Canada. Maintenance is procyclical and comoves almost always...