In this paper, we introduce the flexible interpretable gamma (FIG)
distr...
We revisit the generalized hyperbolic (GH) distribution and its nested
m...
Recent studies about cryptocurrency returns show that its distribution c...
Cluster-weighted models (CWMs) extend finite mixtures of regressions (FM...
Hidden Markov models (HMMs) have been extensively used in the univariate...
Finite mixtures of regressions with fixed covariates are a commonly used...
Much work has been done in the area of the cluster weighted model (CWM),...
This paper introduces the multivariate tail-inflated normal (MTIN)
distr...
Analysis of three-way data is becoming ever more prevalent in the litera...
Many statistical problems involve the estimation of a (d×
d) orthogonal ...
The multivariate contaminated normal (MCN) distribution represents a sim...
We explore the possibility of discovering extreme voting patterns in the...
Usually in Latent Class Analysis (LCA), external predictors are taken to...
The inverse Gaussian (IG) is one of the most famous and considered
distr...
A family of parsimonious Gaussian cluster-weighted models is presented. ...
Contaminated mixture models are developed for model-based clustering of ...