Wavelet improvement in turning point detection using a Hidden Markov Model
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- Li, Yushu & Reese, Simon, 2012. "Wavelet Improvement in Turning Point Detection using a Hidden Markov Model," Working Papers 2012:14, Lund University, Department of Economics, revised 05 Apr 2014.
References listed on IDEAS
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- Bjørn Gunnar Hansen & Yushu Li, 2017. "An Analysis of Past World Market Prices of Feed and Milk and Predictions for the Future," Agribusiness, John Wiley & Sons, Ltd., vol. 33(2), pages 175-193, April.
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More about this item
Keywords
HMM; turning point; wavelet; wavelet power spectrum; outlier;All these keywords.
JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CMP-2014-04-11 (Computational Economics)
- NEP-ETS-2014-04-11 (Econometric Time Series)
- NEP-GER-2014-04-11 (German Papers)
- NEP-ORE-2014-04-11 (Operations Research)
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