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Updated: May 28, 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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对于一般的等级模型来说,快速的最大概率估计

Johnny Hong1, Sara Stoudt2, Perry de Valpine3

  • 1Department of Statistics, University of California Berkeley, Berkeley, CA, USA.

Journal of applied statistics
|February 14, 2025
PubMed
概括

层次模型随机梯度下降 (HMSGD) 通过适应随机梯度下降,为复杂的统计模型提供更快的融合. 这些新方法提高了应用科学中的效率和稳定性.

关键词:
贝叶斯的等级模型是贝叶斯的等级模型.马尔科夫连锁蒙特卡罗的蒙特卡罗是一个连锁城市.蒙特卡洛 牛顿-拉普森 牛顿-拉普森蒙特卡洛预期最大化最大化最大的概率估计估计.随机梯度下降 随机梯度下降

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