3 citations · 4 across the 4 of their papers we have counts for
3 papers · 1 filter
Multilevel latent class analysis with covariates: Analysis of cross-national citizenship norms with a two-stage approach
Roberto Di Mari, Zsuzsa Bakk, Jennifer Oser +1
This paper focuses on the substantive application of multilevel LCA to the evolution of citizenship norms in a diverse array of democratic countries. To do so, we present a two-sta…
Cluster-weighted latent class modeling
Roberto Di Mari, Antonio Punzo, Zsuzsa Bakk
Usually in Latent Class Analysis (LCA), external predictors are taken to be cluster conditional probability predictors (LC models with covariates), and/or score conditional probabi…
Estimation of clusterwise linear regression models with a shrinkage-like approach
Roberto Di Mari, Roberto Rocci, Stefano Antonio Gattone
Constrained approaches to maximum likelihood estimation in the context of finite mixtures of normals have been presented in the literature. A fully data-dependent constrained metho…