Bayesian inference requires an analyst to set priors. Setting the right prior is crucial for precise forecasts. This paper analyzes how optimal prior changes when an economy is hit by a recession. For this task, an autoregressive distributed lag model is chosen. The results show that a sharp...

We investigate the importance of taking the spatial interaction of turbines inside a wind park into account. This article provides two tests that check for wake effects and thus, take spatial interdependence into account. Those effects are suspected to have a negative influence on wind power...

We introduce a new methodology for forecasting which we call Signal Diffusion Mapping. Our approach accommodates features of real world financial data which have been ignored historically in existing forecasting methodologies. Our method builds upon well-established and accepted methods from...