An Approach to Incorporate Subsampling Into a Generic Bayesian Hierarchical Model-Reference-Cited by-同舟云学术

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An Approach to Incorporate Subsampling Into a Generic Bayesian Hierarchical Model

Published:2021-06-21 Issue:4 Volume:30 Page:889-905
ISSN:1061-8600
Container-title:Journal of Computational and Graphical Statistics
language:en
Short-container-title:Journal of Computational and Graphical Statistics

Author:

Bradley Jonathan R.¹

Affiliation:

1. Department of Statistics, Florida State University, Tallahassee, FL

Funder

U.S. National Science Foundation

National Institutes of Health

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Discrete Mathematics and Combinatorics,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10618600.2021.1923518

Reference80 articles.

1. Identifying clusters in Bayesian disease mapping

2. Gaussian predictive process models for large spatial data sets

3. Spatial subsemble estimator for large geostatistical data

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Generating Independent Replicates Directly from the Posterior Distribution for a Class of Spatial Hierarchical Models;Journal of Computational and Graphical Statistics;2024-08-26

2. Incorporating Subsampling into Bayesian Models for High-Dimensional Spatial Data;Bayesian Analysis;2024-01-01

3. Latent multivariate log-gamma models for high-dimensional MultiType responses with application to daily fine particulate matter and mortality counts;The Annals of Applied Statistics;2023-06-01

4. Effective sample size for georeferenced and temporally evolving data;Spatial Statistics;2023-03

5. Bayesian inference for big spatial data using non-stationary spectral simulation;Spatial Statistics;2021-06

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