The important issue in software reliability management includes evaluation, measurement
and prediction about errors in the model. In critical applications the requirement of software …

To facilitate applications in general insurance, some extensions are proposed to cluster-
weighted models (CWMs). First, we extend CWMs to have generalized cluster-weighted …

Usually in latent class (LC) analysis, external predictors are taken to be cluster conditional
probability predictors (LC models with external predictors), and/or score conditional …

We consider the problem of inferring an unknown number of clusters in multinomial count
data, by estimating finite mixtures of multinomial distributions with or without covariates. Both …

We analyze repeated cross‐sectional survey data collected by the Institute of Global Health
Innovation, to characterize the perception and behavior of the Italian population during the …

Mixtures of g-priors are well established in linear regression models by\cite {Liang2008} and
generalized linear models by\cite {Bove2011} and\cite {Li2013} for variable selection. This …

The investigation of flexible classes of discrete prior has been an active research line in
Bayesian statistics. Several contributions were devoted to the study of nonparametric priors …

Complex dependence structures characterising modern data are routinely encountered in a
large variety of research fields. Medicine, biology, psychology and social sciences are …

Multivariate categorical data are routinely collected in several applications, including
epidemiology, biology, and sociology, among many others. Popular models dealing with …