Method G: Uncertainty Quantification for Distributed Data Problems Using Generalized Fiducial Inference-Reference-Cited by-同舟云学术

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Method G: Uncertainty Quantification for Distributed Data Problems Using Generalized Fiducial Inference

Published:2021-06-18 Issue:4 Volume:30 Page:934-945
ISSN:1061-8600
Container-title:Journal of Computational and Graphical Statistics
language:en
Short-container-title:Journal of Computational and Graphical Statistics

Author:

Lai Randy C. S.¹²,Hannig Jan³^ORCID,Lee Thomas C. M.²^ORCID

Affiliation:

1. Department of Mathematics & Statistics, University of Maine, Orono, ME

2. Department of Statistics, University of California at Davis, Davis, CA

3. Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, NC

Funder

Division of Mathematical Sciences

Division of Information and Intelligent Systems

the National Science Foundation

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/10618600.2021.1923514

Reference25 articles.

1. Likelihood inflating sampling algorithm

2. Inverse Probability

Cited by 2 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. Distributed Statistical Analyses: A Scoping Review and Examples of Operational Frameworks Adapted to Healthcare;2023-12-24

2. Distributed Statistical Analyses: A Scoping Review and Examples of Operational Frameworks Adapted to Health Analytics (Preprint);JMIR Medical Informatics;2023-10-12

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