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Exponential smoothing with regressors: Estimation and initialization

机译:使用回归变量进行指数平滑:估计和初始化

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The main objective of this paper is to outline the estimation and initialization procedures for the exponential smoothing with regressors forecasting approach which was recently introduced. The paper also discusses what restrictions need to be imposed during the estimation process so that the algorithm satisfies the forecastability conditions. An empirical study using real non-seasonal data shows that the new approach sometimes has the ability to produce better forecasts than the existing exponential smoothing methods without regressors.
机译:本文的主要目的是概述最近引入的回归预测方法对指数平滑的估计和初始化过程。本文还讨论了在估计过程中需要施加哪些限制,以便该算法满足可预测性条件。使用实际的非季节性数据进行的经验研究表明,与没有回归变量的现有指数平滑方法相比,新方法有时能够产生更好的预测。

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