Contemporary term for the optimization of forecasting constants2019 Community Moderator ElectionHow do I plot multiple data subset forecast predictions onto a single plotR - time series hourlyCorrelation between two moving-average smoothed variablesBest Practice in Defining Multiple Seasonal Components in TBATSBuilding dynamic linear model in R with dlm package, MLE and Bayesian inference for parameter estimationDetermining/extracting weights of prior observations' on a forecasted value using ets() in RMutiple VAR forecast with optimal lagsCombining Several Prediction Intervals In a Model Averaging ForecastTime Series Forecasting on call center Dataget RMSE of forecast by Exponential Smoothing
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Contemporary term for the optimization of forecasting constants
2019 Community Moderator ElectionHow do I plot multiple data subset forecast predictions onto a single plotR - time series hourlyCorrelation between two moving-average smoothed variablesBest Practice in Defining Multiple Seasonal Components in TBATSBuilding dynamic linear model in R with dlm package, MLE and Bayesian inference for parameter estimationDetermining/extracting weights of prior observations' on a forecasted value using ets() in RMutiple VAR forecast with optimal lagsCombining Several Prediction Intervals In a Model Averaging ForecastTime Series Forecasting on call center Dataget RMSE of forecast by Exponential Smoothing
Two time-series forecast principles are used: a seasonal moving average and a seasonal single exponential smoothing forecast.
To attain quality results, the associated constants (the season size, the number of values included in a moving average forecast and the smoothing constant) are optimized in a grid search. What would be the correct terminology to describe this process? "Hyperparameter optimization"?
time-series forecasting
asked Mar 7 at 12:24
cheesuscheesus
215
add a comment |
Two time-series forecast principles are used: a seasonal moving average and a seasonal single exponential smoothing forecast.
To attain quality results, the associated constants (the season size, the number of values included in a moving average forecast and the smoothing constant) are optimized in a grid search. What would be the correct terminology to describe this process? "Hyperparameter optimization"?
time-series forecasting
asked Mar 7 at 12:24
cheesuscheesus
215
add a comment |
Two time-series forecast principles are used: a seasonal moving average and a seasonal single exponential smoothing forecast.
To attain quality results, the associated constants (the season size, the number of values included in a moving average forecast and the smoothing constant) are optimized in a grid search. What would be the correct terminology to describe this process? "Hyperparameter optimization"?
time-series forecasting
asked Mar 7 at 12:24
cheesuscheesus
215
Two time-series forecast principles are used: a seasonal moving average and a seasonal single exponential smoothing forecast.
To attain quality results, the associated constants (the season size, the number of values included in a moving average forecast and the smoothing constant) are optimized in a grid search. What would be the correct terminology to describe this process? "Hyperparameter optimization"?
time-series forecasting
time-series forecasting
asked Mar 7 at 12:24
cheesuscheesus
215
asked Mar 7 at 12:24
cheesuscheesus
215
asked Mar 7 at 12:24
cheesuscheesus
215
asked Mar 7 at 12:24
cheesuscheesus
215
asked Mar 7 at 12:24
cheesuscheesus
215
215
add a comment |
add a comment |
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