A dependent Bayesian Dirichlet process model for source apportionment of particle number size distribution

DOI10.1002/env.2763zbMATH Open1545.62702MaRDI QIDQ6626530

Carolina Euán, Israel Martínez-Hernández, Melanie Meis, Gary Fuller, Marta Blangiardo, Wesley S. Burr, Oliver Baerenbold, Monica Pirani, Anja Tremper

Publication date: 28 October 2024

Published in: Environmetrics (Search for Journal in Brave)

zbMATH Keywords

particle concentrationsBayesian modelingdependent Dirichlet processsource apportionment

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Cites Work

• Unnamed Item
• The dependent Dirichlet process and related models
• A Bayesian analysis of some nonparametric problems
• Kernel stick-breaking processes
• Multivariate Receptor Modeling for Temporally Correlated Data by Using MCMC
• Markov chain Monte Carlo in approximate Dirichlet and beta two-parameter process hierarchical models
• A Bayesian multivariate receptor model for estimating source contributions to particulate matter pollution using national databases

Related Items (1)

Environmental data science. I

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