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LKJ Distribution


The Lewandowski-Kurowicka-Joe distribution, or LKJ distribution, is a statistical distribution on real symmetric positive-definite matrices with unit diagonal. Such matrices are correlation matrices. For a d×d correlation matrix R, its probability density function with respect to Lebesgue measure on the d(d-1)/2 free off-diagonal entries has the form

 p(R) proportional det(R)^(eta-1),

where eta>0. This Lebesgue measure treats the free entries as ordinary coordinates in R^(d(d-1)/2), restricted to the region for which R is positive definite. The case eta=1 is the uniform distribution on this region relative to that measure, meaning its density is constant there. It does not make the off-diagonal entries independent, since they must jointly form a correlation matrix. Values eta>1 favor correlation matrices near the identity matrix, while 0<eta<1 puts more weight near the boundary, where limiting correlation matrices are singular. The LKJ distribution is widely used in Bayesian models of correlation matrices.


See also

Correlation Matrix, Determinant, Identity Matrix, Lebesgue Measure, Positive Definite Matrix, Uniform Distribution

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References

Lewandowski, D.; Kurowicka, D.; and Joe, H. "Generating Random Correlation Matrices Based on Vines and Extended Onion Method." J. Multivariate Anal. 100, 1989-2001, 2009. https://doi.org/10.1016/j.jmva.2009.04.008.

Cite this as:

Weisstein, Eric W. "LKJ Distribution." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/LKJDistribution.html

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