Source: Nonlinear Dynamics. Unidade: IFSC
Assunto: FÍSICA
ABNT
VALERIANO, João Pedro et al. Sequential time-window learning with approximate Bayesian computation: an application to epidemic forecasting. Nonlinear Dynamics, v. 111, n. Ja 2023, p. 549-558 + supplementary information, 2023Tradução . . Disponível em: http://dx.doi.org/10.1007/s11071-022-07865-x. Acesso em: 30 jan. 2023.APA
Valeriano, J. P., Cintra, P. H., Libotte, G., Reis, I., Fontinele, F., Silva, R., & Malta, S. (2023). Sequential time-window learning with approximate Bayesian computation: an application to epidemic forecasting. Nonlinear Dynamics, 111( Ja 2023), 549-558 + supplementary information. doi:10.1007/s11071-022-07865-xNLM
Valeriano JP, Cintra PH, Libotte G, Reis I, Fontinele F, Silva R, Malta S. Sequential time-window learning with approximate Bayesian computation: an application to epidemic forecasting [Internet]. Nonlinear Dynamics. 2023 ; 111( Ja 2023): 549-558 + supplementary information.[citado 2023 jan. 30 ] Available from: http://dx.doi.org/10.1007/s11071-022-07865-xVancouver
Valeriano JP, Cintra PH, Libotte G, Reis I, Fontinele F, Silva R, Malta S. Sequential time-window learning with approximate Bayesian computation: an application to epidemic forecasting [Internet]. Nonlinear Dynamics. 2023 ; 111( Ja 2023): 549-558 + supplementary information.[citado 2023 jan. 30 ] Available from: http://dx.doi.org/10.1007/s11071-022-07865-x