Bayesian learning for time series prediction with exogenous variables
Michel Crucianu, Romuald Boné, J. P. Asselin de Beauville · 2003
We extend the Bayesian learning framework to the modelling of multivariate time series with feedforward neural networks. The extension presented here concerns both regression and classification problems. Finally, we present preliminary results regarding the choice of appropriate priors for building such sequential models.