数据科学与管理（英文）2025，Vol.8Issue(4)：447-457,11.DOI:10.1016/j.dsm.2025.02.002
Automatic method for identification of cycles in COVID-19 time-series data
Automatic method for identification of cycles in COVID-19 time-series data
Miaotian Li 1Ciprian Doru Giurcǎneanu 1Jiamou Liu2
作者信息
- 1. Department of Statistics,University of Auckland,Auckland,1010,New Zealand
- 2. School of Computer Science,University of Auckland,Auckland,1023,New Zealand
- 折叠
摘要
关键词
COVID-19 time-series data/Periodogram/Information theoretic criteria/Stochastic complexity/Harmonics of 7-day cycle/Harmonics of annual cycleKey words
COVID-19 time-series data/Periodogram/Information theoretic criteria/Stochastic complexity/Harmonics of 7-day cycle/Harmonics of annual cycle引用本文复制引用
Miaotian Li,Ciprian Doru Giurcǎneanu,Jiamou Liu..Automatic method for identification of cycles in COVID-19 time-series data[J].数据科学与管理（英文）,2025,8(4):447-457,11.
