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Updated: Jun 1, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
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Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

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在密集的纵向数据中,对多级值自回归模型进行高效准确的变化推理.

Azizur Rahman1,2, Depeng Jiang1, Lisa M Lix1

  • 1Department of Community Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada.

The British journal of mathematical and statistical psychology
|January 22, 2025
PubMed
概括

一个新的平均场变量贝叶斯 (MFVB) 算法为使用多级值自回归 (ML-TAR) 模型分析密集的纵向数据 (ILD) 提供了更快的替代方案. 这种计算方法提高了复杂的统计建模的效率和准确性.

关键词:
马尔科夫连锁蒙特卡罗的蒙特卡罗是一个强烈的纵向数据密集.多级值 自动回归模型变化的贝叶斯贝叶斯.

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