Penalized maximum likelihood estimator for finite multivariate skew normal mixtures
From MaRDI portal
Publication:6067489
DOI10.1080/03610926.2022.2060513OpenAlexW4223505323MaRDI QIDQ6067489
Publication date: 17 November 2023
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2022.2060513
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Multivariate mixture modeling using skew-normal independent distributions
- Robust mixture modeling based on scale mixtures of skew-normal distributions
- Model-based clustering and classification with non-normal mixture distributions
- Consistency of the penalized MLE for two-parameter gamma mixture models
- Hypothesis test for normal mixture models: the EM approach
- Bayesian inference for the skewness parameter of the scalar skew-normal distribution
- Cluster analysis using multivariate normal mixture models to detect differential gene expression with microarray data
- Inference for multivariate normal mixtures
- A constrained formulation of maximum-likelihood estimation for normal mixture distributions
- Note on the consistency of the maximum likelihood estimate for nonidentifiable distributions
- Finite mixture of skewed distributions
- A note on the article ``Inference for multivariate normal mixtures by J. Chen and X. Tan
- Bias prevention of maximum likelihood estimates for scalar skew normal and skew \(t\) distribu\-tions
- Maximum likelihood estimation for multivariate skew normal mixture models
- A note on reference priors for the scalar skew-normal distribution
- Model-based clustering
- Consistency of the Maximum Likelihood Estimator in the Presence of Infinitely Many Incidental Parameters
- A multivariate skew-garch model
- Oracle and Adaptive Compound Decision Rules for False Discovery Rate Control
- The ECME algorithm: A simple extension of EM and ECM with faster monotone convergence
- Stochastic versions of the em algorithm: an experimental study in the mixture case
- The multivariate skew-normal distribution
- A new class of multivariate skew distributions with applications to bayesian regression models
- Penalized maximum likelihood estimation for skew normal mixtures
- Likelihood Ratio Test for Multi-Sample Mixture Model and Its Application to Genetic Imprinting
- Large-Scale Simultaneous Hypothesis Testing
- Note on the Consistency of the Maximum Likelihood Estimate
- A general class of multivariate skew-elliptical distributions
This page was built for publication: Penalized maximum likelihood estimator for finite multivariate skew normal mixtures