Bayesian mixture modelling in geochronology via Markov chain Monte Carlo

DOI10.1007/s11004-005-9019-3zbMath1157.62360OpenAlexW2015968257MaRDI QIDQ1001697

David A. Stephens, Kerry Gallagher, Christopher C. Holmes, Ajay Jasra

Publication date: 24 February 2009

Published in: Mathematical Geology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11004-005-9019-3

zbMATH Keywords

reversible jump Markov chain Monte Carlogeochronology

Mathematics Subject Classification ID

Bayesian inference (62F15) Applications of statistics (62P99) Numerical analysis or methods applied to Markov chains (65C40) Geostatistics (86A32)

Related Items (2)

Transdimensional inference in the geosciences ⋮ Bayesian inference for finite mixtures of univariate and multivariate skew-normal and skew-t distributions

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
• Markov chain Monte Carlo methods and the label switching problem in Bayesian mixture modeling
• Delayed rejection in reversible jump Metropolis-Hastings
• A STATISTICAL PARADOX
• Dealing With Label Switching in Mixture Models
• Classical Model Selection via Simulated Annealing
• A Skew Extension of the T-Distribution, with Applications
• Mixture Models in Measurement Error Problems, with Reference to Epidemiological Studies

This page was built for publication: Bayesian mixture modelling in geochronology via Markov chain Monte Carlo