Using cross-classified multivariate mixed response models with application to life history traits in great tits (Parus major)

DOI10.1177/1471082X0700700301OpenAlexW2163655655WikidataQ57614380 ScholiaQ57614380MaRDI QIDQ4970887

Robin H. McCleery, Richard A. Pettifor, William J. Browne, Ben C. Sheldon

Publication date: 7 October 2020

Published in: Statistical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1177/1471082x0700700301

zbMATH Keywords

Markov chain Monte Carlo (MCMC)multilevel modellingcomplex data structuresmixed responsescross-classified models

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• WinBUGS
• MLwiN

Cites Work

• MCMC algorithms for constrained variance matrices
• Implementation and performance issues in the Bayesian and likelihood fitting of multilevel models
• Bayesian analysis of cross-section and clustered data treatment models
• Inference from iterative simulation using multiple sequences
• Model Selection for Integrated Recovery/Recapture Data
• The Analysis of Ring-Recovery Data Using Random Effects
• The Efficient Integration of Abundance and Demographic Data
• Analysis of multivariate probit models
• Average Information REML: An Efficient Algorithm for Variance Parameter Estimation in Linear Mixed Models
• A Correlated Probit Model for Joint Modeling of Clustered Binary and Continuous Responses
• Integrated Recovery/Recapture Data Analysis
• Modeling Heterogeneity in Nest Survival Data
• Bayesian Measures of Model Complexity and Fit
• Bayesian Analysis of Binary and Polychotomous Response Data
• Recovery of inter-block information when block sizes are unequal
• A comparison of Bayesian and likelihood-based methods for fitting multilevel models

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