Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1145633 | Journal of Multivariate Analysis | 2014 | 11 Pages |
We extend the methodology of generating the random correlation matrix of Joe (2006) and Lewandowski et al. (2009) by introducing a partial correlation expansion of the determinant of a correlation matrix which is more general than the partial correlations on a regular vine used in Lewandowski et al. (2009). This generalization allows us to formulate the partial correlation expansion of determinant for a correlation matrix with a chordal sparsity pattern. For such a partially specified correlation matrix we find a uniform density of unspecified correlations. This leads to a closed form formula for the volume of the space of correlation matrices with specified correlations corresponding to a chordal graph. We present an algorithm to generate uniformly a random correlation matrix with a chordal sparsity pattern.