Population counts along elliptical habitat contours: hierarchical modeling using Poisson-lognormal mixtures with nonstationary spatial structure

DOI10.1214/15-AOAS838zbMath1454.62396arXiv1505.04319OpenAlexW2964009495MaRDI QIDQ902912

Estelina S. Capistrano, Marco A. Rodríguez, Alexandra Mello Schmidt

Publication date: 4 January 2016

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

Full work available at URL: https://arxiv.org/abs/1505.04319

zbMATH Keywords

Gaussian processBayesian inferencegeometric anisotropycovariate-in-correlation functionlake shorelinesPerca flavescensspatial confounding

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Geostatistics (86A32)

Related Items (4)

Spatial distribution of the earthquake in mainland China ⋮ The Bayesian group Lasso for confounded spatial data ⋮ Constructing Flexible, Identifiable and Interpretable Statistical Models for Binary Data ⋮ Population counts along elliptical habitat contours: hierarchical modeling using Poisson-lognormal mixtures with nonstationary spatial structure

Uses Software

• CODA
• Ox
• gamair

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