One step ahead

One step ahead forecasting using

When dealing with time series the one step ahead forecasting problem based on experimental data is the problem of estimating the autoregression function of the underlying process When minimizing the expected forecast ing error is the main goal the exible approach has to be used to be able to adjust the complexity of the model to the complexity of the data Multilay ered perceptrons are a popular...

Optimal one-step-ahead stochastic adaptive control

An optimal indirect stochastic adaptive control is obtained explicitly for linear time-varying discrete-time systems with general delay and white noise perturbation, while minimizing the variance of the output around a desired value one step ahead. The resulting controller incorporates parameter uncertainties. The solution unifies and generalizes previously known results, which become special c...

Step Ahead

Results: There was no impact of the intervention on change in BMI from baseline to 12 ( 0.272; 95% CI 0.271, 0.782) or 24 months ( 0.276; 95% CI 0.338, 0.890) in intention-to-treat analysis. When intervention exposure (scale 0 to 100) was used as the independent variable, there was a decrease of 0.012 BMI units (95% CI 0.025, 0.001) for each unit increase in intervention participation at the 24...

Neural network based one-step ahead control and its stability

Automated Ann Alerts – One Step Ahead with Mobile Support

In this paper, I examine the potential of mobile alerting services empowering investors to react quickly to critical market events. Therefore, an analysis of short-term (intraday) price effects is performed. I find abnormal returns to company announcements which are completed within a timeframe of minutes. To make use of these findings, these price effects are predicted using pre-defined extern...