Inference in flexible families of distributions with normal kernel

DOI10.1080/02331888.2012.688207zbMath1440.62191OpenAlexW1969651688MaRDI QIDQ2863099

Gustavo H. M. A. Rocha, Reinaldo B. Arellano-Valle, Rosangela H. Loschi

Publication date: 21 November 2013

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331888.2012.688207

zbMATH Keywords

maximum likelihoodBayes estimatordensity estimationbimodalityskewness

Mathematics Subject Classification ID

Point estimation (62F10) Bayesian inference (62F15) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Exact distribution theory in statistics (62E15)

Related Items (1)

Multivariate log-skewed distributions with normal kernel and their applications

Cites Work

• Unnamed Item
• Unnamed Item
• Maximum likelihood inference for mixtures of skew Student-\(t\)-normal distributions through practical EM-type algorithms
• Shape mixtures of multivariate skew-normal distributions
• Bayesian modeling using a class of bimodal skew-elliptical distributions
• Bias prevention of maximum likelihood estimates for scalar skew normal and skew \(t\) distribu\-tions
• Maximum likelihood estimation for multivariate skew normal mixture models
• On fundamental skew distributions
• A note on reference priors for the scalar skew-normal distribution
• Robust Likelihood Methods Based on the Skew-t and Related Distributions
• On the Unification of Families of Skew-normal Distributions
• Statistical Applications of the Multivariate Skew Normal Distribution
• Problems of inference for Azzalini's skewnormal distribution
• Flexible Class of Skew-Symmetric Distributions
• A unified view on skewed distributions arising from selections
• Generalized skew-normal models: properties and inference
• The Skew-normal Distribution and Related Multivariate Families*

This page was built for publication: Inference in flexible families of distributions with normal kernel