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Sardar, Iqra, Akbar, Muhammad Azeem, Leiva, Víctor, Alsanad, Ahmed, Mishra, Pradeep (2023) Machine learning and automatic ARIMA/Prophet models-based forecasting of COVID-19: methodology, evaluation, and case study in SAARC countries. Stochastic Environmental Research and Risk Assessment, 37 (1) 345-359 doi:10.1007/s00477-022-02307-x

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Reference TypeJournal (article/letter/editorial)
TitleMachine learning and automatic ARIMA/Prophet models-based forecasting of COVID-19: methodology, evaluation, and case study in SAARC countries
JournalStochastic Environmental Research and Risk Assessment
AuthorsSardar, IqraAuthor
Akbar, Muhammad AzeemAuthor
Leiva, VíctorAuthor
Alsanad, AhmedAuthor
Mishra, PradeepAuthor
Year2023 (January)Volume37
Issue1
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s00477-022-02307-xSearch in ResearchGate
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Mindat Ref. ID15672612Long-form Identifiermindat:1:5:15672612:4
GUID0
Full ReferenceSardar, Iqra, Akbar, Muhammad Azeem, Leiva, Víctor, Alsanad, Ahmed, Mishra, Pradeep (2023) Machine learning and automatic ARIMA/Prophet models-based forecasting of COVID-19: methodology, evaluation, and case study in SAARC countries. Stochastic Environmental Research and Risk Assessment, 37 (1) 345-359 doi:10.1007/s00477-022-02307-x
Plain TextSardar, Iqra, Akbar, Muhammad Azeem, Leiva, Víctor, Alsanad, Ahmed, Mishra, Pradeep (2023) Machine learning and automatic ARIMA/Prophet models-based forecasting of COVID-19: methodology, evaluation, and case study in SAARC countries. Stochastic Environmental Research and Risk Assessment, 37 (1) 345-359 doi:10.1007/s00477-022-02307-x
In(2023, January) Stochastic Environmental Research and Risk Assessment Vol. 37 (1) Springer Science and Business Media LLC

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