Forecasting the patterns of COVID-19 and causal impacts of lockdown in top five affected countries using Bayesian Structural Time Series Models
Navid Feroze
Topics & Concepts
Autoregressive integrated moving averageCoronavirus disease 2019 (COVID-19)CasualPaceTime seriesGeographyEconometricsSeries (stratigraphy)DemographyBayesian probabilityStatisticsPolitical scienceEconomicsMathematicsMedicineSociologyGeodesyInfectious disease (medical specialty)LawDiseasePaleontologyBiologyPathologyCOVID-19 epidemiological studiesInnovation Diffusion and ForecastingData Analysis with R