Finite mixture of regression modeling for high-dimensional count and biomass data in ecology

DOI10.1007/s13253-013-0146-xzbMath1303.62066OpenAlexW1975207073WikidataQ57239157 ScholiaQ57239157MaRDI QIDQ486051

Piers K. Dunstan, Scott D. Foster, David I. Warton, Francis K. C. Hui

Publication date: 14 January 2015

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

Full work available at URL: https://doi.org/10.1007/s13253-013-0146-x

zbMATH Keywords

mixture modelmulti-speciescommunity-level modelspecies archetype modelspecies distribution modelTweedie

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Generalized linear models (logistic models) (62J12) Ecology (92D40)

Related Items (7)

Model-based simultaneous clustering and ordination of multivariate abundance data in ecology ⋮ Mixture of inhomogeneous matrix models for species‐rich ecosystems ⋮ Generalized linear latent variable models for multivariate count and biomass data in ecology ⋮ Modelling biological regions from multi‐species and environmental data ⋮ Additive multivariate Gaussian processes for joint species distribution modeling with heterogeneous data ⋮ On species richness and rarefaction: size- and coverage-based techniques quantify different characteristics of richness change in biodiversity ⋮ Multi-species distribution modeling using penalized mixture of regressions

Uses Software

• R
• alr3
• VGAM

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• A model-based approach to designing a fishery-independent survey
• A mixture likelihood approach for generalized linear models
• Nonparametric Tests for Homogeneity of Species Assemblages: A Data Depth Approach
• Regularized Sandwich Estimators for Analysis of High-Dimensional Data Using Generalized Estimating Equations
• Variable Selection in Finite Mixture of Regression Models
• Applied Linear Regression
• Negative Binomial Regression

This page was built for publication: Finite mixture of regression modeling for high-dimensional count and biomass data in ecology