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"Modelling COVID-19 Pandemic Dynamics Using Transparent, Interpretable, ..."

Hua-Liang Wei, S. A. Billings (2021)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2021-11-05

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2111-01763
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2111-01763
Hua-Liang Wei, S. A. Billings:
Modelling COVID-19 Pandemic Dynamics Using Transparent, Interpretable, Parsimonious and Simulatable (TIPS) Machine Learning Models: A Case Study from Systems Thinking and System Identification Perspectives. CoRR abs/2111.01763 (2021)

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