One step ahead of the game

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...

A Step Ahead? Experienced Play in the P-Beauty Game

In the "p-beauty" contest, contestants choose a number between zero and 100 and the winner is the player who selects the number that is closest to some fraction p of the average chosen by the group. While the Nash equilibrium is for all players to choose 0, subjects frequently display bounded rationality by choosing numbers that are substantially higher. However, as the game is repeated, player...

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