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一个准确的概率步骤查询器用于时间序列分析

Alex Rojewski1, Max Schweiger1, Ioannis Sgouralis2

  • 1Department of Physics, Arizona State University, Tempe, Arizona; Center for Biological Physics, Arizona State University, Tempe, Arizona.

Biophysical journal
|January 11, 2024
PubMed
概括

一种新的贝叶斯非参数 (BNP) 方法,BNP-Step,准确地识别了噪音时间序列数据中的过渡. 这种方法克服了现有模型的局限性,因为它不假设持久时间,严格处理不确定性,改进了稀疏和杂的实验数据的分析.

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