Modeling joint abundance of multiple species using Dirichlet process mixtures
From MaRDI portal
Publication:6625849
DOI10.1002/ENV.2440zbMATH Open1545.6282MaRDI QIDQ6625849
Devin S. Johnson, Elizabeth H. Sinclair
Publication date: 28 October 2024
Published in: Environmetrics (Search for Journal in Brave)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- Bayesian clustering of animal abundance trends for inference and dimension reduction
- Finite mixture of regression modeling for high-dimensional count and biomass data in ecology
- Estimating abundance from counts in large data sets of irregularly spaced plots using spatial basis functions
- Cluster analysis, model selection, and prior distributions on models
- On selecting a prior for the precision parameter of Dirichlet process mixture models
- Asymptotic equivalence of Bayes cross validation and widely applicable information criterion in singular learning theory
- Mixed membership stochastic blockmodels
- N ‐Mixture Models for Estimating Population Size from Spatially Replicated Counts
- Modeling Unobserved Sources of Heterogeneity in Animal Abundance Using a Dirichlet Process Prior
- Partially Collapsed Gibbs Samplers
- Nonparametric Bayes Modeling of Multivariate Categorical Data
- Bayes's theorem and the use of prior knowledge in regression analysis
Related Items (1)
This page was built for publication: Modeling joint abundance of multiple species using Dirichlet process mixtures
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6625849)