Bayesian Hierarchical Stacking: Some Models Are (Somewhere) Useful-Reference-Cited by-同舟云学术

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Bayesian Hierarchical Stacking: Some Models Are (Somewhere) Useful

Published:2021-01-01 Issue:-1 Volume:-1 Page:
ISSN:1936-0975
Container-title:Bayesian Analysis
language:
Short-container-title:Bayesian Anal.

Author:

Yao Yuling¹,Pirš Gregor²,Vehtari Aki³,Gelman Andrew⁴

Affiliation:

1. Flatiron Institute, New York, USA

2. Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia

3. Department of Computer Science, Aalto University, Espoo, Finland

4. Department of Statistics and Political Science, Columbia University, New York, USA

Publisher

Institute of Mathematical Statistics

Subject

Applied Mathematics,Statistics and Probability

Cited by 20 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

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2. Vertical distribution of Lake Superior cisco (Coregonus artedi) spawning aggregations and implications for population monitoring;Journal of Great Lakes Research;2024-08

3. Predictive Performance of Bayesian Stacking in Multilevel Education Data;Journal of Educational and Behavioral Statistics;2024-06-18

4. Efficient estimation and correction of selection-induced bias with order statistics;Statistics and Computing;2024-06-12

5. Taweret: a Python package for Bayesian model mixing;Journal of Open Source Software;2024-05-24

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