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Coordinate-Wise Transformation and Stein-Type Densities

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Geometric Science of Information (GSI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10589))

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Abstract

A Stein-type density function is defined as a stationary point of the free-energy functional over a fiber that consists of probability densities obtained by coordinate-wise transformations of a given density. It is shown that under some conditions there exists a unique Stein-type density in each fiber. An application to rating is discussed.

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References

  1. Bishop, C.M.: Pattern Recognition and Machine Learning. Springer, Heidelberg (2006)

    MATH  Google Scholar 

  2. Chen, L.H.Y., Goldstein, L., Shao, Q.: Normal Approximation by Stein’s Method. Springer, Heidelberg (2011)

    Book  MATH  Google Scholar 

  3. Christofides, T.C., Vaggelatou, E.: A connection between supermodular ordering and positive/negative association. J. Multivar. Anal. 88, 138–151 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  4. Fallat, S., Lauritzen, S., Sadeghi, K., Uhler, C., Wermuth, N., Zwiernik, P.: Total positivity in Markov structures. Ann. Statist. 45(3), 1152–1184 (2017)

    Article  MATH  MathSciNet  Google Scholar 

  5. Fortuin, C.M., Kasteleyn, P.W., Ginibre, J.: Correlation inequalities on some partially ordered sets. Comm. Math. Phys. 22, 89–103 (1971)

    Article  MATH  MathSciNet  Google Scholar 

  6. Marshall, A.W., Olkin, I.: Scaling of matrices to achieve specified row and column sums. Numer. Math. 12, 83–90 (1968)

    Article  MATH  MathSciNet  Google Scholar 

  7. McCann, R.J.: A convexity principle for interacting gases. Adv. Math. 128, 153–179 (1997)

    Article  MATH  MathSciNet  Google Scholar 

  8. Müller, A., Stoyan, D.: Comparison Methods for Stochastic Models and Risks. Wiley, New York (2002)

    MATH  Google Scholar 

  9. Nelsen, R.B.: An Introduction to Copulas, 2nd edn. Springer, Heidelberg (2006)

    MATH  Google Scholar 

  10. Rüschendorf, L.: Characterization of dependence concepts in normal distributions. Ann. Inst. Statist. Math. 33, 347–359 (1981)

    Article  MathSciNet  Google Scholar 

  11. Rüschendorf, L.: Mathematical Risk Analysis. Springer, Heidelberg (2013)

    Book  MATH  Google Scholar 

  12. Sei, T.: An objective general index for multivariate ordered data. J. Multivar. Anal. 147, 247–264 (2016)

    Article  MATH  MathSciNet  Google Scholar 

  13. Sei, T.: Coordinate-wise transformation of probability distributions to achieve a Stein-type identity, Technical Report METR2017-04. The University of Tokyo, Department of Mathematical Engineering and Information Physics (2017)

    Google Scholar 

  14. Stein, C.: A bound for the error in the normal approximation to the distribution of a sum of dependent random variables. In: Proceedings of the Sixth Berkeley Symposium on Mathematical Statistics and Probability, vol. 2, pp. 583–602 (1972)

    Google Scholar 

  15. Villani, C.: Topics in Optimal Transportation. American Mathematical Society, Providence (2003)

    Book  MATH  Google Scholar 

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Acknowledgements

The author is grateful to three anonymous referees for their constructive comments. This work was supported by JSPS KAKENHI Grant Numbers JP26108003 and JP17K00044.

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Correspondence to Tomonari Sei .

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Sei, T. (2017). Coordinate-Wise Transformation and Stein-Type Densities. In: Nielsen, F., Barbaresco, F. (eds) Geometric Science of Information. GSI 2017. Lecture Notes in Computer Science(), vol 10589. Springer, Cham. https://doi.org/10.1007/978-3-319-68445-1_77

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  • DOI: https://doi.org/10.1007/978-3-319-68445-1_77

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68444-4

  • Online ISBN: 978-3-319-68445-1

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