Sentence examples for optimal forecasts from inspiring English sources

We show how the preference asymmetries interact with the distribution asymmetries to determine optimal forecasts which contain the optimal predictors under symmetry and normality as special cases.

Under the assumption of rational expectations, models assume agents make predictions based on the optimal forecasts of the model itself.

As it is known, a forecasting method may arise from identifying a particular model for the given data and finding optimal forecasts conditional on that model, or it may simply be an algorithmic rule and need not depend on an underlying probability model [ 17].

In the case of output growth, the optimal forecast would combine both the private and the Fed forecasts, though it would give more weight to the Fed's forecast.

Furthermore, the high dimensional Bayesian information criterion (HDBIC) is utilized to select the optimal forecasting model.

The optimal forecasting horizon of bankruptcy prediction models is usually one year.

Compared with the grey forecasting model, the optimal forecasting model is more efficient in reducing the influences of time-delay and disturbance errors.

Although wind speed is difficult to forecast by single predictor, composite forecast model can statistically produce an optimal forecast by computing prediction results from a number of different methods.

This paper deals with a forecasting method which selects the optimal forecasting model type and the level of integration of advance demand information, depending on the patterns of the particular time series.

Using SST expansion coefficient time-series from SVD analysis was found to capture the evolution of ENSO from west to east and to provide skillful forecasts of streamflow at earlier leads (up to 7 months in advance) compared to that found by pre-defined indices, indicating the importance of predictor selection in achieving optimal forecast skill.

This study utilized Dayu Smart Water System that integrates on-site monitoring sensors and advanced modeling tools to provide optimal flood forecasts.