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Updated: Sep 16, 2025

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从使用高斯过程回归的时间序列数据量化和探索依赖状态的生态相互作用

Taiju Yukihira1, Yutaka Osada2, Michio Kondoh1

  • 1Tohoku University Graduate School of Life Sciences, Sendai, Miyagi Prefecture, Japan.

Journal of the Royal Society, Interface
|July 8, 2025
PubMed
概括

我们开发了一种新的高斯过程回归方法,以准确测量生态相互作用如何随着时间的推移和社区状态的变化. 该工具通过可靠量化国家依赖的物种相互作用来改善生态预测.

关键词:
贝叶斯的非参数推理.雅科比式矩阵是一个雅科比式矩阵.社区矩阵是社区矩阵.不线性是非线性的.种类的相互作用 物种的相互作用时间序列分析分析时间序列分析

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