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Statistical properties of the Hadamard product of random vectors

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Abstract

The variance of the Hadamard product of two linear combinations of a random vector is presented in terms of the mean and the variance of the random vector when a normal distribution is assumed. The mean and variance of the Hadamard product are further given for any distribution.

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References

  • R.J. Hyndman and M.P. Wand (1997) Nonparametric autocovariance function estimation, Australian J. Statist., 39(3), 313–324.

    Article  MATH  MathSciNet  Google Scholar 

  • J.R. Magnus and H. Neudecker (1979) The commutation matrix: Some properties and applications, Ann. Statist., 7(2), 381–394.

    Article  MATH  MathSciNet  Google Scholar 

  • J.R. Magnus and H. Neudecker (1999) Matrix Differential Calculus and Applications in Statistics and Econometrics, 2nd Ed., Wiley, Chichester.

    MATH  Google Scholar 

  • H. Neudecker, S. Liu and W. Polasek (1995) The Hadamard product and some of its applications in statistics, Statistics, 26, 365–373.

    Article  MATH  MathSciNet  Google Scholar 

  • H. Neudecker, W. Polasek and S. Liu (1995) The heteroskedastic linear regression model and the Hadamard product-A note, J. Econometrics, 68, 361–366.

    Article  MATH  MathSciNet  Google Scholar 

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Correspondence to Heinz Neudecker or Shuangzhe Liu.

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Neudecker, H., Liu, S. Statistical properties of the Hadamard product of random vectors. Statistical Papers 42, 529–533 (2001). https://doi.org/10.1007/s003620100078

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  • DOI: https://doi.org/10.1007/s003620100078

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