Assumption-Based Reasoning with General Gaussian Linear Systems

  • Paul-André Monney
Part of the Contributions to Statistics book series (CONTRIB.STAT.)


In this chapter, the assumption-based reasoning principle will be used to draw inferences about the parameter of a given general Gaussian linear system. These inferences will be expressed as Gaussian hints from which degrees of support and degrees of plausibility of hypotheses can be computed.


Manifold Covariance Eter 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Paul-André Monney
    • 1
  1. 1.Department of StatisticsPurdue UniversityWest LafayetteUSA

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