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Auxiliary variables are introduced as a method for calculating a single
function of multiple random variables, through a two-stage process of
using the probability transformation rule followed by…
Course Code
PGEE11164 Licence Type
All rights reserved Date Created
October 7th, 2020
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This video discusses the marginal-probability density function (pdf)
which describes the pdf of a subset of elements from the random vector.
Examples of applications in which this is useful are…
Course Code
PGEE11164 Licence Type
All rights reserved Date Created
September 25th, 2020
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Exact Inference in BNs: Variable Elimination
Licence Type
All rights reserved The University of Edinburgh
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Joint Probability Distributions
Licence Type
All rights reserved The University of Edinburgh
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