Modeling dragonfly population data with a Bayesian bivariate geometric mixed-effects model

DOI10.1080/02664763.2022.2068513OpenAlexW4229064082MaRDI QIDQ6109787

Unnamed Author, Unnamed Author, Unnamed Author, Unnamed Author, Wim P. Krijnen, Unnamed Author, Unnamed Author

Publication date: 28 July 2023

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

Full work available at URL: https://doi.org/10.1080/02664763.2022.2068513

zbMATH Keywords

count databivariate geometric distributionBayesian modelingmixed effectsgeneralized linear model (GLM)aeshna viridis

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Simple marginally noninformative prior distributions for covariance matrices
• Mixed effects models and extensions in ecology with R
• Inference from iterative simulation using multiple sequences
• A bivariate Poisson count data model using conditional probabilities
• Bayesian Measures of Model Complexity and Fit
• A bivariate Sarmanov regression model for count data with generalised Poisson marginals
• Bivariate zero-inflated generalized Poisson regression model with flexible covariance

This page was built for publication: Modeling dragonfly population data with a Bayesian bivariate geometric mixed-effects model