NONLINEAR PREDICTION FOR THE COVID-19 DATA BASED ON QUADRATIC KALMAN FILTERING Back August 24, 2026 by emily chan MetadataShare TitleNONLINEAR PREDICTION FOR THE COVID-19 DATA BASED ON QUADRATIC KALMAN FILTERINGAuthorMARQUES, JOAO ALEXANDRE LOBO | GOIS, FRANCISCO NAUBER BERNARDO | XAVIER-NETO, JOSÉ | FONG, SIMON JAMESPUBLISH YEAR2020FACULTY / RESEARCH UNITFACULTY OF BUSINESS AND LAWDOCUMENT TYPEBook SectionPart ofPREDICTIVE MODELS FOR DECISION SUPPORT IN THE COVID-19 CRISISLANGUAGEENGLISHLink to Publisherhttps://doi.org/10.1007%2F978-3-030-61913-8_4 Continue browsing FORECASTING COVID-19 TIME SERIES BASED ON AN AUTOREGRESSIVE MODEL PREDICTING THE GEOGRAPHIC SPREAD OF THE COVID-19 PANDEMIC: A CASE STUDY FROM BRAZIL Back to items list