90 citations · 197 across the 35 of their papers we have counts for
6 papers · 1 filter
Generalized Linear Gaussian Cluster-Weighted Modeling
Salvatore Ingrassia, Simona C. Minotti, Antonio Punzo +1
Cluster-Weighted Modeling (CWM) is a flexible mixture approach for modeling the joint probability of data coming from a heterogeneous population as a weighted sum of the products o…
DBKGrad: An R Package for Mortality Rates Graduation by Fixed and Adaptive Discrete Beta Kernel Techniques
Angelo Mazza, Antonio Punzo
Kernel smoothing represents a useful approach in the graduation of mortality rates. Though there exist several options for performing kernel smoothing in statistical software packa…
KernSmoothIRT: An R Package for Kernel Smoothing in Item Response Theory
Angelo Mazza, Antonio Punzo, Brian McGuire
Item response theory (IRT) models are a class of statistical models used to describe the response behaviors of individuals to a set of items having a certain number of options. The…
Clustering and Classification via Cluster-Weighted Factor Analyzers
Sanjeena Subedi, Antonio Punzo, Salvatore Ingrassia +1
In model-based clustering and classification, the cluster-weighted model constitutes a convenient approach when the random vector of interest constitutes a response variable Y and…
Flexible Mixture Modeling with the Polynomial Gaussian Cluster-Weighted Model
Antonio Punzo
In the mixture modeling frame, this paper presents the polynomial Gaussian cluster-weighted model (CWM). It extends the linear Gaussian CWM, for bivariate data, in a twofold way. F…
Model-based clustering via linear cluster-weighted models
Salvatore Ingrassia, Simona C. Minotti, Antonio Punzo
A novel family of twelve mixture models with random covariates, nested in the linear cluster-weighted model (CWM), is introduced for model-based clustering. The linear CWM…