Weakly Informative Reparameterizations for Location-Scale Mixtures

DOI10.1080/10618600.2018.1438900OpenAlexW2962688708MaRDI QIDQ3391164

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Publication date: 28 March 2022

Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1601.01178

zbMATH Keywords

Bayesian analysisDirichlet priorexchangeabilityimproper priornoninformative priorcompound distributions

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

A data-driven reversible jump for estimating a finite mixture of regression models ⋮ Ultimixt

Uses Software

• bayesm
• mixtools
• CATMAN

Cites Work

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• Markov chain Monte Carlo Estimation of Classical and Dynamic Switching and Mixture Models
• Bayesian Density Estimation and Inference Using Mixtures
• Asymptotic Inference for Mixture Models by Using Data-Dependent Priors
• Natural induction: An objective bayesian approach

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