Generalized linear latent variable models for multivariate count and biomass data in ecology

DOI10.1007/s13253-017-0304-7zbMath1383.62315OpenAlexW2746105728WikidataQ57239126 ScholiaQ57239126MaRDI QIDQ1695261

Francis K. C. Hui, Sara Taskinen, David I. Warton, Jenni Niku

Publication date: 7 February 2018

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13253-017-0304-7

zbMATH Keywords

biomassLaplace approximationspecies interactionsordinationoverdispersed count

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Applications of statistics to environmental and related topics (62P12) Generalized linear models (logistic models) (62J12)

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Uses Software

• R
• Stata
• GLLAMM
• TMB
• HMSC

Cites Work

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• Maximum likelihood estimation of limited and discrete dependent variable models with nested random effects
• Estimation of generalized linear latent variable models via fully exponential Laplace approximation
• Finite mixture of regression modeling for high-dimensional count and biomass data in ecology
• Asymptotic normality and valid inference for Gaussian variational approximation
• Accuracy of Laplace approximation for discrete response mixed models
• Generalized latent trait models
• Latent Variable Models and Factor Analysis
• A latent trait and a latent class model for mixed observed variables
• Model Selection and Multimodel Inference
• Estimation of Generalized Linear Latent Variable Models
• Multivariate models for correlated count data
• Robust Statistics

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