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Bayes Estimation

  • Wolfgang Karl Härdle
  • Vladimir Spokoiny
  • Vladimir Panov
  • Weining Wang
Chapter
  • 7.1k Downloads
Part of the Springer Texts in Statistics book series (STS)

Exercise 5.1.

Consider the Bernoulli experiment\(\boldsymbol{Y } = {(Y _{1},\ldots,Y _{n})}^{\top }\)

Keywords

Joint Posterior Density Function Marginal Posterior Distribution Conjugate Prior Distribution Finite Population Version Bayes Estimates 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Spokoiny, V., & Dickhaus, T. (2014). Basics of modern parametric statistics. Berlin: Springer.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Wolfgang Karl Härdle
    • 1
  • Vladimir Spokoiny
    • 2
  • Vladimir Panov
    • 3
  • Weining Wang
    • 1
  1. 1.L.v.Bortkiewicz Chair of Statistics, C.A.S.E. Centre f. Appl. Stat. and Econ.Humboldt-Universität zu BerlinBerlinGermany
  2. 2.Weirstrass Institute for Applied Analysis and Stochastics (WIAS)BerlinGermany
  3. 3.Universität Duisburg-EssenEssenGermany

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