title: Structural identifiability analysis of some highly structured families of statespace models using differential algebra.
abstract: In this paper we identify biologically relevant families of models whose structural identifiability analysis could not be performed with available techniques directly. The models considered come from both the immunological and epidemiological literature.
authors.affiliation: Ufficio Programmazione, Sviluppo e Rilevazioni Statistiche, University of Insubria, Italy.
authors.forename: Gabriella
authors.initials: G
authors.lastname: Margaria
authors.forename: Eva
authors.initials: E
authors.lastname: Riccomagno
authors.forename: Lisa J
authors.initials: LJ
authors.lastname: White
mesh_terms: D000818:Animals; D002417:Cattle; D003141:Communicable Diseases / Q000276:immunology; D004812:Epidemiologic Methods; D005260:Female; D006801:Humans; D007251:Influenza, Human / Q000453:epidemiology / Q000276:immunology; D008413:Mastitis / Q000453:epidemiology / Q000276:immunology; D008433:Mathematics; D008954:Models, Biological; D018448:Models, Immunological