Yizhen Xu1, Joseph Hogan2, Michael Daniels3

  • 1Division of Biostatistics, University of Utah.

Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America
|September 2, 2025
PubMed
概括

这项研究引入了多项试验贝叶斯增量回归树 (MPBART) 的新方法,可以提高马尔科夫链蒙特卡洛 (MCMC) 趋同和预测准确性. 提出的方法为现有的MPBART方法提供了更有效的替代方案.

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