Skip to main content

A Generalization of Independence and Multivariate Student’s t-distributions

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9389))

Abstract

In anomalous statistical physics, deformed algebraic structures are important objects. Heavily tailed probability distributions, such as Student’s t-distributions, are characterized by deformed algebras. In addition, deformed algebras cause deformations of expectations and independences of random variables. Hence, a generalization of independence for multivariate Student’s t-distribution is studied in this paper. Even if two random variables which follow to univariate Student’s t-distributions are independent, the joint probability distribution of these two distributions is not a bivariate Student’s t-distribution. It is shown that a bivariate Student’s t-distribution is obtained from two univariate Student’s t-distributions under q-deformed independence.

H. Matsuzoe—This work was partially supported by MEXT KAKENHI Grant Numbers 15K04842 and 26108003.

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

Buying options

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 EPUB and 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

Learn about institutional subscriptions

References

  1. Amari, S., Nagaoka, H.: Method of Information Geometry. American Mathematical Society, Providence. Oxford University Press, Oxford (2000)

    MATH  Google Scholar 

  2. Amari, S., Ohara, A., Matsuzoe, H.: Geometry of deformed exponential families: invariant, dually-flat and conformal geometry. Phys. A 391, 4308–4319 (2012)

    Article  MathSciNet  Google Scholar 

  3. Berg, C., Vignat, C.: On the density of the sum of two independent Student \(t\)-random vectors. Statist. Probab. Lett. 80, 1043–1055 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  4. Borgesa, E.P.: A possible deformed algebra and calculus inspired in nonextensive thermostatistics. Phys. A 340, 95–101 (2004)

    Article  MathSciNet  Google Scholar 

  5. Fujimoto, Y., Murata, N.: A generalization of independence in naive bayes model. In: Fyfe, C., Tino, P., Charles, D., Garcia-Osorio, C., Yin, H. (eds.) IDEAL 2010. LNCS, vol. 6283, pp. 153–161. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  6. Kaniadakis, G.: Theoretical foundations and mathematical formalism of the power-law tailed statistical distributions. Entropy 15, 3983–4010 (2013)

    Article  MathSciNet  Google Scholar 

  7. Kotz, S., Nadarajah, S.: Multivariate \(t\) Distributions and Their Applications. Cambridge University Press, New York (2004)

    Book  MATH  Google Scholar 

  8. Matsuzoe, H.: Statistical manifolds and geometry of estimating functions. In: Prospects of Differential Geometry and its Related Fields, World Scientific Publishing, pp. 187–202 (2013)

    Google Scholar 

  9. Matsuzoe, H., Henmi, M.: Hessian structures and divergence functions on deformed exponential families. In: Nielsen, F. (ed.) Geometric Theory of Information. Signals and Communication Technology. Springer, Switzerland (2014)

    Google Scholar 

  10. Matsuzoe, H.., Ohara, A..: Geometry for \(q\)-exponential families. In: Recent Progress in Differential Geometry and its Related Fields, World Scientific Publishing, pp. 55–71 (2011)

    Google Scholar 

  11. Matsuzoe, H., Wada, T.: Deformed algebras and generalizations of independence on deformed exponential families. Entropy 17, 5729–5751 (2015)

    Article  MathSciNet  Google Scholar 

  12. Naudts, J.: Generalised Thermostatistics. Springer, London (2011)

    Book  MATH  Google Scholar 

  13. Shima, H.: The Geometry of Hessian Structures. World Scientific Publishing, Singapore (2007)

    Book  MATH  Google Scholar 

  14. Takatsu, A.: Behaviors of \(\varphi \)-exponential distributions in Wasserstein geometry and an evolution equation. SIAM J. Math. Anal. 45, 2546–2556 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  15. Tsallis, C.: Introduction to Nonextensive Statistical Mechanics: Approaching a Complex World. Springer, New York (2009)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hiroshi Matsuzoe .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Sakamoto, M., Matsuzoe, H. (2015). A Generalization of Independence and Multivariate Student’s t-distributions. In: Nielsen, F., Barbaresco, F. (eds) Geometric Science of Information. GSI 2015. Lecture Notes in Computer Science(), vol 9389. Springer, Cham. https://doi.org/10.1007/978-3-319-25040-3_79

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-25040-3_79

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25039-7

  • Online ISBN: 978-3-319-25040-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics