Mixtures of GAMs for habitat suitability analysis with overdispersed presence/absence data

DOI10.1016/j.csda.2009.11.016zbMath1464.62141OpenAlexW1993512598WikidataQ33558644 ScholiaQ33558644MaRDI QIDQ962396

David R. J. Pleydell, Stéphane Chrétien

Publication date: 6 April 2010

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc2855165

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Uses Software

• R
• geoRglm
• RandomFields
• gamair

Cites Work

• Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models
• Asymptotics for estimation and testing procedures under loss of identifiability
• Identifiability of finite mixtures of logistic regression models
• Model-Based Geostatistics
• Model Selection and Multimodel Inference
• Explaining species distribution patterns through hierarchical modeling
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