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An omnibus noise filter

  • Claudio Morana

    ()

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File URL: http://hdl.handle.net/10.1007/s00180-008-0139-3
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Article provided by Springer in its journal Computational Statistics.

Volume (Year): 24 (2009)
Issue (Month): 3 (August)
Pages: 459-479

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Handle: RePEc:spr:compst:v:24:y:2009:i:3:p:459-479
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  1. Kalaba, Robert E. & Tesfatsion, Leigh S., 1990. "Flexible Least Squares for Approximately Linear Systems," Staff General Research Papers 11190, Iowa State University, Department of Economics.
  2. D Marinucci & Peter M Robinson, 2001. "Semiparametric Fractional Cointegration Analysis," STICERD - Econometrics Paper Series /2001/420, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
  3. Beltratti, A. & Morana, C., 2006. "Breaks and persistency: macroeconomic causes of stock market volatility," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 151-177.
  4. Kalaba, Robert E. & Tesfatsion, Leigh S., 1990. "An Organizing Principle for Dynamic Estimation," Staff General Research Papers 11194, Iowa State University, Department of Economics.
  5. Kalaba, Robert E. & Tesfatsion, Leigh S., 1989. "Time-Varying Linear Regression Via Flexible Least Squares," Staff General Research Papers 11196, Iowa State University, Department of Economics.
  6. Kasa, Kenneth, 1992. "Common stochastic trends in international stock markets," Journal of Monetary Economics, Elsevier, vol. 29(1), pages 95-124, February.
  7. D Marinucci & Peter M. Robinson, 2001. "Semiparametric fractional cointegration analysis," LSE Research Online Documents on Economics 2269, London School of Economics and Political Science, LSE Library.
  8. Peter M Robinson & Yoshihiro Yajima, 2001. "Determination of Cointegrating Rank in Fractional Systems," STICERD - Econometrics Paper Series /2001/423, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
  9. Kladroba, Andreas, 2005. "Flexible least squares estimation of state space models: an alternative to Kalman-filtering," IBES Diskussionsbeiträge 149, University of Duisburg-Essen, Institute of Business and Economic Studie (IBES).
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