2.25 ( ) In Sections 2.3.1 and 2.3.2, we considered the conditional and marginal distributions for a
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2.25 ( ) In Sections 2.3.1 and 2.3.2, we considered the conditional and marginal distributions for a multivariate Gaussian. More generally, we can consider a partitioning of the components of x into three groups xa, xb, and xc, with a corresponding partitioning of the mean vector μ and of the covariance matrix Σ in the form
μ =
μa
μb
μc
, Σ =
Σaa Σab Σac
Σba Σbb Σbc
Σca Σcb Σcc
. (2.288)
By making use of the results of Section 2.3, find an expression for the conditional distribution p(xa|xb) in which xc has been marginalized out.
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Related Book For
Pattern Recognition And Machine Learning
ISBN: 9780387310732
1st Edition
Authors: Christopher M Bishop
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