Wavelet Improvement in Turning Point Detection using a Hidden Markov Model
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- Li, Yushu & Reese, Simon, 2014. "Wavelet improvement in turning point detection using a Hidden Markov Model," Discussion Papers 2014/10, Norwegian School of Economics, Department of Business and Management Science.
References listed on IDEAS
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More about this item
Keywords
HMM; turning point; wavelet; outlier;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-ECM-2012-05-29 (Econometrics)
- NEP-ETS-2012-05-29 (Econometric Time Series)
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