Add to ORKGABSTRACT. A well known problem with EOP prediction is that a prediction strategy proved to be the best for some testing period and prediction length may not remain as such for other period of time. In this paper we consider possible strategies to combine EOP predictions made using different analysis techniques to obtain a final prediction with the best accuracy corresponding to the least prediction error between input predictions. This approach can be used to improve the short-term real-time EOP forecast. 1
Combination of forecasts from survey data is complicated by the frequent entry and exit in real time...
Motivated by a real forecasting problem we investigate the issue of when to start forecasting. We s...
This thesis evaluates four of the most popular methods for combining time series forecasts. One aspe...
ABSTRACT. A well known problem with Earth Orientation Parameters (EOP) pre-diction is that a predict...
This study firstly employs the calculation of base sequence with different length, in 1-90 day predi...
AbstractWhen the first terms of a sequence are given, a method which gives an approximation of the f...
Despite a considerable literature on the combination of forecasts, there is little guidance regardin...
In this paper we propose a new methodology for evaluating prediction intervals (PIs). TypicallyAlmei...
Despite a considerable literature on the combination of forecasts, there is little guidance regardin...
This paper proposes a dynamic ensemble algorithm to combine forecasting results from multiple method...
This paper proposes a dynamic ensemble algorithm to combine forecasting results from multiple method...
Improving the accuracy of forecasting process is necessary to uplift the quality of man-agement deci...
Motivated by a real forecasting problem we investigate the issue of when to start forecasting. We s...
To improve the forecasting accuracies, researchers have long been using various combination techniqu...
Many studies demonstrated that combining forecasts produces consistent but modest gains in accuracy....
Combination of forecasts from survey data is complicated by the frequent entry and exit in real time...
Motivated by a real forecasting problem we investigate the issue of when to start forecasting. We s...
This thesis evaluates four of the most popular methods for combining time series forecasts. One aspe...
ABSTRACT. A well known problem with Earth Orientation Parameters (EOP) pre-diction is that a predict...
This study firstly employs the calculation of base sequence with different length, in 1-90 day predi...
AbstractWhen the first terms of a sequence are given, a method which gives an approximation of the f...
Despite a considerable literature on the combination of forecasts, there is little guidance regardin...
In this paper we propose a new methodology for evaluating prediction intervals (PIs). TypicallyAlmei...
Despite a considerable literature on the combination of forecasts, there is little guidance regardin...
This paper proposes a dynamic ensemble algorithm to combine forecasting results from multiple method...
This paper proposes a dynamic ensemble algorithm to combine forecasting results from multiple method...
Improving the accuracy of forecasting process is necessary to uplift the quality of man-agement deci...
Motivated by a real forecasting problem we investigate the issue of when to start forecasting. We s...
To improve the forecasting accuracies, researchers have long been using various combination techniqu...
Many studies demonstrated that combining forecasts produces consistent but modest gains in accuracy....
Combination of forecasts from survey data is complicated by the frequent entry and exit in real time...
Motivated by a real forecasting problem we investigate the issue of when to start forecasting. We s...
This thesis evaluates four of the most popular methods for combining time series forecasts. One aspe...