marginal_likelihood_Chib: Likelihood p(V | W) with Chib's method
In alumbreras/MMLE-GaP:
Usage
1
marginal_likelihood_Chib(V, W, H, C, alpha, beta)
Arguments
V
original matrix
W
estimated dictionary matrix
H
any H matrix
C
samples of matrix of auxiliary variables c
Details
Computes equation 22 of the paper Dikmen, F<c3><a9>votte (2012)
to compute p(H | V, W) we use the samples from the last iterations
since these are closer to the true posterior than the older ones where
W was not optimal yet.
alumbreras/MMLE-GaP documentation built on May 18, 2019, 2:37 a.m.
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Usage
1 | marginal_likelihood_Chib(V, W, H, C, alpha, beta)
|
Arguments
V |
original matrix |
W |
estimated dictionary matrix |
H |
any H matrix |
C |
samples of matrix of auxiliary variables c |
Details
Computes equation 22 of the paper Dikmen, F<c3><a9>votte (2012) to compute p(H | V, W) we use the samples from the last iterations since these are closer to the true posterior than the older ones where W was not optimal yet.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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