Description Usage Arguments Value Note
View source: R/sumOfScaledInverseWisharts.R
Equation used for optimization when matching the expectation and log determinant to approximate the distribution of a sum of inverse Wishart matrices. Optimization occurs across the degrees of freedom, N.
1 | operand.logDeterminant(N, dim, weightedPrecisionSum, expectationSum)
|
N |
the current degrees of freedom |
dim |
the dimension of the inverse Wishart matrices in the sum |
weightedPrecisionSum |
weighted sum of precision matrices |
expectationSum |
sum of the expected values of each inverse Wishart |
will return 0 or near 0 at optimal value of N
Based on the approach of: Granstrom, K., & Orguner, U. (2012). On the reduction of Gaussian inverse Wishart mixtures. In 2012 15th International Conference on Information Fusion (FUSION) (pp. 2162-2169).
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