Spatial correlation matrix selection using Bayesian model averaging to characterize inter-tree competition in loblolly pine trees

DOI10.1080/02664760802185845zbMath1253.62044OpenAlexW2037546738MaRDI QIDQ3183819

Bronson P. Bullock, Edward L. Boone

Publication date: 21 October 2009

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664760802185845

zbMATH Keywords

BMAlattice modelsBayes factorsautocorrelationgeostatistical modelspinus taeda

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Measures of association (correlation, canonical correlation, etc.) (62H20) Bayesian inference (62F15) Nonparametric inference (62G99)

Cites Work

• Unnamed Item
• Unnamed Item
• Bayesian model averaging: A tutorial. (with comments and a rejoinder).
• Statistics for Spatial Data
• Parameterization and Bayesian Modeling
• NOTES ON CONTINUOUS STOCHASTIC PHENOMENA

This page was built for publication: Spatial correlation matrix selection using Bayesian model averaging to characterize inter-tree competition in loblolly pine trees