@misc{10481/72990,
year = {2008},
month = {2},
url = {http://hdl.handle.net/10481/72990},
abstract = {In order to forecast time evolution of a binary response variable from a related continuous time series a functional logit model is proposed. The estimation of this model from discrete time observations of the predictor is solved by using functional principal component analysis and ARIMA modelling of the associated discrete time series of principal components. The proposed model is applied to forecast the risk of drought from El Niño phenomenon.},
organization = {Projects MTM2007-63793 from Dirección General de Investigación, Ministerio de Educación y Ciencia, Spain and P06-FQM-01470 from Consejería de Innovación Ciencia y Empresa, Junta de Andalucía, Spain},
publisher = {Elsevier},
keywords = {Logistic regression},
keywords = {Functional principal component analysis},
keywords = {ARIMA modelling},
title = {Forecasting binary longitudinal data by a functional PC-ARIMA model},
doi = {https://doi.org/10.1016/j.csda.2007.09.015},
author = {Aguilera Del Pino, Ana María and Escabias Machuca, Manuel and Valderrama Bonnet, Mariano José},
}