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Spectral density estimation with amplitude modulation and outlier detection

Author

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  • Jiancheng Jiang
  • Y. Hui

Abstract

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Suggested Citation

  • Jiancheng Jiang & Y. Hui, 2004. "Spectral density estimation with amplitude modulation and outlier detection," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 56(4), pages 611-630, December.
    • Handle: RePEc:spr:aistmt:v:56:y:2004:i:4:p:611-630
    DOI: 10.1007/BF02506479
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    Cited by:

    1. A. Elhassanein, 2014. "On the theory of continuous time series," Indian Journal of Pure and Applied Mathematics, Springer, vol. 45(3), pages 297-310, June.
    2. Efromovich, Sam, 2014. "Nonparametric estimation of the spectral density of amplitude-modulated time series with missing observations," Statistics & Probability Letters, Elsevier, vol. 93(C), pages 7-13.
    3. Pierre Perron & Eduardo Zorita & Arthur P. Guillaumin & Adam M. Sykulski & Sofia C. Olhede & Jeffrey J. Early & Jonathan M. Lilly, 2017. "Analysis of Non-Stationary Modulated Time Series with Applications to Oceanographic Surface Flow Measurements," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(5), pages 668-710, September.
    4. Sam Efromovich, 2020. "Missing not at random and the nonparametric estimation of the spectral density," Journal of Time Series Analysis, Wiley Blackwell, vol. 41(5), pages 652-675, September.
    5. Sam Efromovich, 2014. "Efficient Non-Parametric Estimation Of The Spectral Density In The Presence Of Missing Observations," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(5), pages 407-427, August.

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