A dynamic regression model for air pollen concentration Ocaña Peinado, Francisco Valderrama Bonnet, Mariano José Aguilera Del Pino, Ana María Transfer function model ARIMA Principal Component Analysis Air pollen concentration A transfer function model with multiplicative intervention variable is proposed in this paper in order to forecast air pollen concentration using the temperature as input series. The inertia process is at the same time modelled by means of a principal component analysis (PCA) after a suitable time rescaling. The final model is tested with cypress pollen data recorded in Granada (Spain) along 11 years. 2022-02-24T09:14:16Z 2022-02-24T09:14:16Z 2008-03 info:eu-repo/semantics/article Ocana-Peinado, F., Valderrama, M.J. & Aguilera, A.M. A dynamic regression model for air pollen concentration. Stoch Environ Res Risk Assess 22, 59–63 (2008). https://doi.org/10.1007/s00477-007-0153-y http://hdl.handle.net/10481/72987 https://doi.org/10.1007/s00477-007-0153-y eng http://creativecommons.org/licenses/by-nd/3.0/es/ info:eu-repo/semantics/embargoedAccess Atribución-SinDerivadas 3.0 España Springer