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An Alternative Prior for Estimation in High-Dimensional Settings
Structural Equation Modeling: A Multidisciplinary Journal ( IF 2.5 ) Pub Date : 2024-06-25 , DOI: 10.1080/10705511.2023.2281279
Michael Nagel 1 , Lukas Fischer 1 , Tim Pawlowski 1 , Augustin Kelava 1
Affiliation  

Bayesian estimations of complex regression models with high-dimensional parameter spaces require advanced priors, capable of addressing both sparsity and multicollinearity in the data. The Dirichle...

中文翻译:


高维设置中估计的替代先验



具有高维参数空间的复杂回归模型的贝叶斯估计需要高级先验,能够解决数据中的稀疏性和多重共线性。狄利克勒...
更新日期:2024-06-25
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