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Distribution class=InverseWishart name=InverseWishart dimension=1 cholesky=class=TriangularMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] nu=15 inverseCholeskyInverse=class=TriangularMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]
Distribution InverseWishart(V =
[[ 1 ]], nu = 15)
entropy=-2.205542
Minimum volume interval= [0.0299545, 0.140394]
threshold= [0.95]
Minimum volume level set= {x | f(x) <= 47.5285} with f=
MinimumVolumeLevelSetEvaluation(InverseWishart(V =
[[ 1 ]], nu = 15))
beta= [2.28365e-21]
Bilateral confidence interval= [0.036379, 0.15969]
beta= [0.95]
Unilateral confidence interval (lower tail)= [0, 0.137723]
beta= [0.95]
Unilateral confidence interval (upper tail)= [0.0400067, 59.8961]
beta= [0.95]
Run test_computeLogPDF... SUCCESS
Run test_computeLogPDF_1D_case... SUCCESS
Run test_computeLogPDF_diagonal_case... SUCCESS
Run test_getSample_getMean... SUCCESS
distribution InverseWishart(V =
[[ 1 ]], nu = 15)
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