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Proceedings of the National Academy of Sciences of the United States of America(2)
Annals of Applied Statistics(1)
An open challenge to advance probabilistic forecasting for dengue epidemics
ArticleAbstract: A wide range of research has promised new tools for forecasting infectious disease dynamics, but litPalabras claves:DENGUE, Epidemic, Forecast, Perú, Puerto RicoAutores:Ackley S., Anna M. Stewart-Ibarra, Apfeldorf K.M., Asher J., Babin S.M., Bagley T., Bailey T.C., Barker C.M., Baugher B., Bell J.E., Biggerstaff M., Brito H., Brooks L.C., Brown A.C., Buczak A.L., Carvalho M.S.á., Chretien J.P., Clapham H.E., Clay M., Cohen J.M., Colwell R.R., Convertino M., Cummings D.A.T., Devita J., Dobson S., Farrow D.C., Forshey B.M., García-Díez M., George D., Gramacy R.B., Guven E., Hebbeler A.M., Hyun S., Jiang G., Johansson M.A., Johnson L.R., Juarrero A., Jutla A., Khan R., Lane A., Lauer S.A., Lessler J., Liu F., Liu Y., Lothian N., Lowe R., Manheim D., Margolis H.S., Meng X., Mier-Y-Teran-Romero L., Moniz L.J., Moore M., Moore S.M., Mordecai E.A., Moschou T., Murdock C.C., Ortiz E., Osborne G., Osoba O., Paul R., Porco T.C., Poultney M., Rao D.M., Ray E.L., Reddy A., Reich N.G., Rivera-García B., Rivero J., Rodó X., Rohr J.R., Rosenfeld R., Ryan S.J., Sakrejda K., Sardar T., Shaman J., Swerdlow D., Tibshirani R.J., Trtanj J., Vardavas R., Weikel D.P., Worden L., Yamana T.K.Fuentes:scopusErratum: An open challenge to advance probabilistic forecasting for dengue epidemics (Proceedings of the National Academy of Sciences of the United States of America (2019) 116 (24268-24274) DOI: 10.1073/pnas.1909865116)
OtherAbstract: Correction for “An open challenge to advance probabilistic forecasting for dengue epidemics,” by MicPalabras claves:Autores:Ackley S., Anna M. Stewart-Ibarra, Apfeldorf K.M., Asher J., Babin S.M., Bagley T., Bailey T.C., Barker C.M., Baugher B., Bell J.E., Biggerstaff M., Brito H., Brooks L.C., Brown A.C., Buczak A.L., Carvalho M.S.á., Chretien J.P., Clapham H.E., Clay M., Cohen J.M., Colwell R.R., Convertino M., Cummings D.A.T., Devita J., Dobson S., Farrow D.C., Forshey B.M., García-Díez M., George D., Gramacy R.B., Guven E., Hebbeler A.M., Hyun S., Jiang G., Johansson M.A., Johnson L.R., Juarrero A., Jutla A., Khan R., Lane A., Lauer S.A., Lessler J., Liu F., Liu Y., Lothian N., Lowe R., Manheim D., Margolis H.S., Meng X., Moniz L.J., Moore M., Moore S.M., Mordecai E.A., Moschou T., Murdock C.C., Ortiz E., Osborne G., Osoba O., Paul R., Porco T.C., Poultney M., Rao D.M., Ray E.L., Reddy A., Reich N.G., Rivera-García B., Rivero J., Rodó X., Rohr J.R., Rosenfeld R., Ryan S.J., Sakrejda K., Sardar T., Shaman J., Swerdlow D., Teran-Romero L.M., Tibshirani R.J., Trtanj J., Vardavas R., Weikel D.P., Worden L., Yamana T.K.Fuentes:scopusPhenomenological forecasting of disease incidence using heteroskedastic gaussian processes: A dengue case study
ArticleAbstract: In 2015 the US federal government sponsored a dengue forecasting competition using historical case dPalabras claves:Dengue fever, epidemiology, Gaussian Process, Generalized linear (autoregressive) model, Heteroskedastic modeling, Latent variableAutores:Anna M. Stewart-Ibarra, Cohen J.M., Gramacy R.B., Johnson L.R., Mordecai E.A., Murdock C.C., Rohr J.R., Ryan S.J., Weikel D.P.Fuentes:scopus