| Discussion: | Research Area |
| Topic: | need help in generating feasible correlation matrices |
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| Subject: | feasible correlation matrices |
| Author: | George |
| Date: | Jan 22 2004 |
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This, from Jerry Uhl,-George
In 5 dimensions, take 6 random vectors,
Appply Gram-Schmidt to get an orthonormal set X1,X2,...,X6.
Make a matrix H with Xi in the ith column.
Make a matrix A with Xi in the ith row.
Choose nonneg numbers a1,a2, ...a6.
Make a diagonal matrix A with ai on the ith slot of the diagonal.
The matrix you want is H D A
On Jan 15, 2004, Huijing Chen wrote:
New Topic
Hi,
Can anyone tell me how to generate feasible correlation matrices, i.e. real,
symmetric, positive semi-definite matrices? Currently I generate a symmetric
matrix randomly, then use Householder tranformation to tridiagonalise the
matrix, then use QR algorithm to calculate eigenvalues. If any of the
eigenvalue is negative, then the whole process is repeated until a positive
semi-definite matrix is found. For a 5 by 5 matrix, it ran on my computer for
15 hours and didn't come up with a feasible matrix! I suspect it is not a very
efficient way. Can anyone tell me if there are any other algorithms or methods?
Thanks.
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