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Updated: Sep 17, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
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Published on: July 3, 2020

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贝叶斯推理一般化线性模型通过准后期的贝叶斯推理

D Agnoletto1, T Rigon2, D B Dunson1

  • 1Department of Statistical Science, Duke University, 214 Old Chemistry, Durham, North Carolina 27708, USA.

Biometrika
|July 1, 2025
PubMed
概括

这项研究介绍了在通用线性模型中强大的贝叶斯推理的近后分布. 这种方法提高了可靠性,因为它只要求正确指定前两个时刻,改进了传统模型.

关键词:
在C-贝叶斯.一般化的贝叶斯.模型的错误规范是错误的几乎可能的可能性.坚固性 坚固性

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