Skip to main content

Harmonic analysis tools for statistical inference in the spectral domain

  • Chapter
  • First Online:
Dependence in Probability and Statistics

Part of the book series: Lecture Notes in Statistics ((LNS,volume 200))

Abstract

We present here an extension of the theorem on asymptotic behavior of Fejér graph integrals stated in [7] to the case of integrals with more general kernels which allow for tapering. As a corollary, asymptotic normality results for tapered estimators are derived.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Avram, F., On Bilinear Forms in Gaussian Random Variables and Toeplitz Matrices. Probab. Theory Related Fields 79 (1988) 37–45.

    Article  MATH  MathSciNet  Google Scholar 

  2. Avram, F., Brown, L. A Generalized Hölder Inequality and a Generalized Szegö Theorem. Proceedings of the American Math. Soc. 107 (1989) 687–695.

    MATH  MathSciNet  Google Scholar 

  3. Avram, F., Taqqu, M.S. Hölder’s Inequality for Functions of Linearly Dependent Arguments. SIAM J. Math. Anal. 20 (1989) 1484–1489.

    Article  MATH  MathSciNet  Google Scholar 

  4. Avram, F. Generalized Szegö Theorems and asymptotics of cumulants by graphical methods. Transactions of the American Math. Soc. 330 (1992) 637–649.

    Article  MATH  MathSciNet  Google Scholar 

  5. Avram, F., Fox, R. Central limit theorems for sums of Wick products of stationary sequences. Transactions of the American Math. Soc. 330 (1992) 651–663.

    Article  MATH  MathSciNet  Google Scholar 

  6. Avram, F., Taqqu, M.S. On a Szegö type limit theorem and the asymptotic theory of random sums, integrals and quadratic forms. Dependence in probability and statistics, Lecture Notes in Statist., 187, Springer, New York, (2006), 259–286.

    Chapter  Google Scholar 

  7. Avram, F., Leonenko, N., Sakhno, L. On a Szegö type limit theorem, the Hölder-Young-Brascamp-Lieb inequality, and the asymptotic theory of integrals and quadratic forms of stationary fields. ESAIM: Probab. Statist. (2009), to appear.

    Google Scholar 

  8. Dahlhaus, R. Spectral analysis with tapered data. J. Time Series Anal. 4 (1983) 163–175.

    Article  MATH  MathSciNet  Google Scholar 

  9. Dahlhaus, R. A functional limit theorem for tapered empirical spectral functions. Stochastic Process. Appl. 19 (1985) 135–149.

    Article  MATH  MathSciNet  Google Scholar 

  10. Dahlhaus, R., Künsch, H., Edge effects and efficient parameter estimation for stationary random fields, Biometrika, 74 (1987), 877-882. 39–81.

    Article  MATH  MathSciNet  Google Scholar 

  11. Doukhan, P., Leon, J.R., Soulier, P. Central and non central limit theorems for quadratic forms of a strongly dependent Gaussian filed. REBRAPE 10 (1996) 205-223.

    MATH  MathSciNet  Google Scholar 

  12. Guyon, X., Random Fields on a Network: Modelling, Statistics and Applications. Springer, New York, 1995.

    Google Scholar 

  13. Rudin, W. Real and Complex Analysis. McGraw-Hill, London, New York (1970).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Florin Avram .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Avram, F., Leonenko, N., Sakhno, L. (2010). Harmonic analysis tools for statistical inference in the spectral domain. In: Doukhan, P., Lang, G., Surgailis, D., Teyssière, G. (eds) Dependence in Probability and Statistics. Lecture Notes in Statistics(), vol 200. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14104-1_4

Download citation

Publish with us

Policies and ethics