Forecasting the dynamics of cumulative COVID-19 cases (confirmed, recovered and deaths) for top-16 countries using statistical machine learning models: Auto-Regressive Integrated Moving Average (ARIMA) and Seasonal Auto-Regressive Integrated Moving Average (SARIMA) - ArunKumar, K.E.; Kalaga, Dinesh V.; Sai Kumar, Ch. Mohan; Chilkoor, Govinda; Kawaji, Masahiro; Brenza, Timothy M. (Applied soft computing, 2021)
Keywords: Akaike Information Criteria (AIC); ARIMA; Auto-Correlation Function (ACF); Bayesian Information Criterion (BIC); COVID-19; Pandemic; SARIMA; Statistical modeling; Time-series forecast; COVID-19; Auto-Correlation Function (ACF); Statistical modeling; SARIMA; Time-series forecast; ARIMA; Pandemic; Bayesian Information Criterion (BIC); Akaike Information Criteria (AIC)