Assumption-Based Reasoning with General Gaussian Linear Systems
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.
KeywordsManifold Covariance Eter
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