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Graph presentations for moments of noncentral Wishart distributions and their applications

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Abstract

We provide formulas for the moments of the real and complex noncentral Wishart distributions of general degrees. The obtained formulas for the real and complex cases are described in terms of the undirected and directed graphs, respectively. By considering degenerate cases, we give explicit formulas for the moments of bivariate chi-square distributions and 2 × 2 Wishart distributions by enumerating the graphs. Noting that the Laguerre polynomials can be considered to be moments of a noncentral chi-square distributions formally, we demonstrate a combinatorial interpretation of the coefficients of the Laguerre polynomials.

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References

  • Bai Z.D. (1999) Methodologies in spectral analysis of large dimensional random matrices: A review. Statistica Sinica 9: 611–677

    MATH  MathSciNet  Google Scholar 

  • Goodman N.R. (1963) Statistical analysis based on a certain multivariate complex Gaussian distribution: An introduction. The Annals of Mathematical Statistics 34: 152–177

    Article  MATH  Google Scholar 

  • Graczyk P., Letac G., Massam H. (2003) The complex Wishart distribution and the symmetric groups. The Annals of Statistics 31: 287–309

    Article  MATH  MathSciNet  Google Scholar 

  • Graczyk P., Letac G., Massam H. (2005) The hyperoctahedral group, symmetric group representations and the moments of the real Wishart distribution. Journal of Theoretical Probability 18: 1–42

    Article  MATH  MathSciNet  Google Scholar 

  • Johnson N.L., Kotz S., Balakrishnan N. (1995) Continuous univariate distributions (Vol. 2, 2nd ed). Wiley-Interscience, New York

    MATH  Google Scholar 

  • Kibble W.F. (1941) A two-variate gamma type distribution. Sankhya 5A: 137–150

    MathSciNet  Google Scholar 

  • Koutras M. (1982) Noncentral Stirling numbers and some applications. Discrete Mathematics 42: 73–89

    Article  MATH  MathSciNet  Google Scholar 

  • Kuriki S., Takemura A. (1996) Asymptotic expansion of null distribution of likelihood ratio statistic in multiparameter exponential family to an arbitrary order. In: Watanabe S., Fukushima M., Prohorov Yu.V., Shiryaev A.N. (eds) Probability theory and mathematical statistics: Proceedings of the seventh Japan–Russia symposium. World Scientific, Singapore, pp 244–255

    Google Scholar 

  • Letac G., Massam H. (2008) The noncentral Wishart as an exponential family, and its moments. Journal of Multivariate Analysis 99: 1393–1417

    Article  MATH  MathSciNet  Google Scholar 

  • Lu I.-L., Richards D.St.P. (2001) MacMahon’s master theorem, representation theory, and moments of Wishart distributions. Advances in Applied Mathematics 27: 531–547

    Article  MATH  MathSciNet  Google Scholar 

  • Maiwald D., Kraus D. (2000) Calculation of moments of complex Wishart and complex inverse Wishart distributed matrices. IEE Proceedings Radar, Sonar & Navigation 147: 162–168

    Article  Google Scholar 

  • McCullagh P. (1987) Tensor methods in statistics. Chapman & Hall, London

    MATH  Google Scholar 

  • Morris C.N. (1982) Natural exponential families with quadratic variance functions. The Annals of Statistics 10: 65–80

    Article  MATH  MathSciNet  Google Scholar 

  • Muirhead R.J. (1982) Aspects of multivariate statistical theory. Wiley, New York

    Book  MATH  Google Scholar 

  • Nadarajah S., Kotz S. (2006) Product moments of Kibble’s bivariate gamma distribution. Circuits, Systems, and Signal Processing 25: 567–570

    Article  MATH  MathSciNet  Google Scholar 

  • Stanley R.P. (2000) Enumerative combinatorics (Vol. 1, 2nd ed.). Cambridge University Press, Cambridge

    Google Scholar 

  • Takemura, A. (1991). Foundations of multivariate statistical inference (in Japanese). Tokyo: Kyoritsu Shuppan.

  • Vere-Jones D. (1988) A generalization of permanents and determinants. Linear Algebra and its Applications 111: 119–124

    Article  MATH  MathSciNet  Google Scholar 

  • Wishart J. (1928) The generalised product moment distribution in samples from a normal multivariate population. Biometrika 20A: 32–52

    Google Scholar 

  • Withers C., Nadarajah S. (2006) Simple representations for Hermite polynomials. Electronics Letters 42: 1368–1369

    Article  Google Scholar 

Download references

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Correspondence to Satoshi Kuriki.

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Kuriki, S., Numata, Y. Graph presentations for moments of noncentral Wishart distributions and their applications. Ann Inst Stat Math 62, 645–672 (2010). https://doi.org/10.1007/s10463-010-0279-4

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  • DOI: https://doi.org/10.1007/s10463-010-0279-4

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