A Common Atoms Model for the Bayesian Nonparametric Analysis of Nested Data

DOI10.1080/01621459.2021.1933499zbMath1514.62229arXiv2008.07077OpenAlexW3164151952MaRDI QIDQ6107217

Federico Camerlenghi, Antonietta Mira, Michele Guindani, Francesco Denti

Publication date: 3 July 2023

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2008.07077

zbMATH Keywords

nested Dirichlet processcommon atoms modelmicrobiome abundance analysisnested datasetpartially exchangeable data

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (3)

Bayesian Tree-Structured Two-Level Clustering for Nested Data Analysis ⋮ Bayesian Nonparametric Common Atoms Regression for Generating Synthetic Controls in Clinical Trials ⋮ Search Algorithms and Loss Functions for Bayesian Clustering

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