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Wavelets as Basis Functions in the Adaptation's Methods: Author's Model for Forecasting Short-Term

Wavelets as Basis Functions in the Adaptation's Methods: Author's Model for Forecasting Short-Term
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摘要 The aim of this article is to present author's application of wavelets to predict short-term macroeconomic indicators Proposed to predict short-term time series (in particular for predicting macroeconomic indicators), proprietary model is based on wavelet analysis with Haar wavelets, Daubechies wavelets, and adaptive models; they are the trend crawling model and alignment exponential model. Adaptive models have been modified through the introduction of wavelet function and combined into a single forecast model. Obtained from conducted research results, it shows the model an effective instrument to predict the short-term.
出处 《Chinese Business Review》 2016年第1期8-17,共10页 中国经济评论(英文版)
关键词 WAVELETS wavelet transform multi-resolution analysis PREDICTION macroeconomic indicators 短期预测模型 Haar小波 Daubechies小波 作者 基函数 自适应模型 时间序列预测 经济指标
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