Lisboa, Paulo; Dunis, Christian L.; Lindemann, Andreas - In: Journal of Forecasting 23 (2004) 8, pp. 559-585
The purpose of this paper is twofold. Firstly, to assess the merit of estimating probability density functions rather than level or classification estimations on a one-day-ahead forecasting task of the EUR|USD time series. This is implemented using a Gaussian mixture model neural network,...