Estimating the Parameters

  • G. Larry Bretthorst
Part of the Lecture Notes in Statistics book series (LNS, volume 48)


Once the models had been rewritten in terms of the orthonormal model functions, we were able to remove the nuisance parameters {A} and σ. The integrals performed in removing the nuisance parameters were all Gaussian or gamma integrals; therefore, one can always compute the posterior moments of these parameters.


Power Spectral Density Discrete Fourier Transform Noise Variance Nuisanee Parameter Posterior Probability Density 
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.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1988

Authors and Affiliations

  • G. Larry Bretthorst
    • 1
  1. 1.Department of ChemistryWashington UniversityUSA

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