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This person wants to use a Kronecker matrix for a covariance matrix in a multivariate normal distribution (Distributions.jl). Since these use PDM, I think the best option would be to include a method for a Kronecker PDM here? Almost all functionality should inherit.
My other option would be that PDM(K) with K a Kronecker matrix yields a new type KroneckerPDM (Kronecker product of PDM) with the methods of this package copied here.
What do you think would be the best option?
The text was updated successfully, but these errors were encountered:
Hi, see the issue on Kronecker.jl:
MichielStock/Kronecker.jl#137
This person wants to use a Kronecker matrix for a covariance matrix in a multivariate normal distribution (Distributions.jl). Since these use PDM, I think the best option would be to include a method for a Kronecker PDM here? Almost all functionality should inherit.
My other option would be that
PDM(K)
withK
a Kronecker matrix yields a new type KroneckerPDM (Kronecker product of PDM) with the methods of this package copied here.What do you think would be the best option?
The text was updated successfully, but these errors were encountered: