Finite mixture models
The important role of finite mixture models in the statistical analysis of data is underscored
by the ever-increasing rate at which articles on mixture applications appear in the statistical …
by the ever-increasing rate at which articles on mixture applications appear in the statistical …
Why ordinal variables can (almost) always be treated as continuous variables: Clarifying assumptions of robust continuous and ordinal factor analysis estimation …
A Robitzsch - Frontiers in education, 2020 - frontiersin.org
The analysis of factor structures is one of the most critical psychometric applications.
Frequently, variables (ie, items or indicators) resulting from questionnaires using ordinal …
Frequently, variables (ie, items or indicators) resulting from questionnaires using ordinal …
Distance metrics and clustering methods for mixed‐type data
In spite of the abundance of clustering techniques and algorithms, clustering mixed interval
(continuous) and categorical (nominal and/or ordinal) scale data remain a challenging …
(continuous) and categorical (nominal and/or ordinal) scale data remain a challenging …
Model-based clustering
The notion of defining a cluster as a component in a mixture model was put forth by
Tiedeman in 1955; since then, the use of mixture models for clustering has grown into an …
Tiedeman in 1955; since then, the use of mixture models for clustering has grown into an …
[HTML][HTML] Mixtures of skew-t factor analyzers
A mixture of skew-t factor analyzers is introduced as well as a family of mixture models
based thereon. The particular formulation of the skew-t distribution used arises as a special …
based thereon. The particular formulation of the skew-t distribution used arises as a special …
A selective overview of skew-elliptical and related distributions and of their applications
Within the context of flexible parametric families of distributions, much work has been
dedicated in recent years to the theme of skew-symmetric distributions, or symmetry …
dedicated in recent years to the theme of skew-symmetric distributions, or symmetry …
Banks' business models in the euro area: a cluster analysis in high dimensions
We propose a clustering method for large dimensional data to classify the 365 largest euro
area financial institutions according to their business model. The proposed clustering …
area financial institutions according to their business model. The proposed clustering …
An overview of skew distributions in model-based clustering
The literature on non-normal model-based clustering has continued to grow in recent years.
The non-normal models often take the form of a mixture of component densities that offer a …
The non-normal models often take the form of a mixture of component densities that offer a …
A mixture of generalized hyperbolic factor analyzers
The mixture of factor analyzers model, which has been used successfully for the model-
based clustering of high-dimensional data, is extended to generalized hyperbolic mixtures …
based clustering of high-dimensional data, is extended to generalized hyperbolic mixtures …
A mixture of common skew‐t factor analysers
A mixture of common skew‐t factor analysers model is introduced for model‐based
clustering of high‐dimensional data. By assuming common factors, this model allows …
clustering of high‐dimensional data. By assuming common factors, this model allows …