Bayesian model selection for COVID-19 pandemic state estimation using extended Kalman filters: Case study for Saudi Arabia.

MLA

Lamia Alyami, et al. “Bayesian Model Selection for COVID-19 Pandemic State Estimation Using Extended Kalman Filters: Case Study for Saudi Arabia.” PLOS Global Public Health, vol. 4, no. 7, Jan. 2024, p. e0003467. EBSCOhost, https://doi.org/10.1371/journal.pgph.0003467.

APA

Lamia Alyami, Saptarshi Das, & Stuart Townley. (2024). Bayesian model selection for COVID-19 pandemic state estimation using extended Kalman filters: Case study for Saudi Arabia. PLOS Global Public Health, 4(7), e0003467. https://doi.org/10.1371/journal.pgph.0003467

Chicago

Lamia Alyami, Saptarshi Das, and Stuart Townley. 2024. “Bayesian Model Selection for COVID-19 Pandemic State Estimation Using Extended Kalman Filters: Case Study for Saudi Arabia.” PLOS Global Public Health 4 (7): e0003467. doi:10.1371/journal.pgph.0003467.