On Tue, Nov 16, 2010 at 1:49 PM, Peter Langfelder
wrote:
>
> It is easy to come up with examples where Cov(A, B) + Cov(B, A) is not
> positive definite. As an extreme example, consider a matrix A (say 10
> columns, 100 rows) such that the off-diagonal covariances are all zero
> and the columns are
made you think that a cross-covariance matrix should be positive
> definite? Id does not even need to be a square matrix, or symmetric.
>
> Giovanni Petris
>
> On Mon, 2010-11-15 at 12:58 -0500, Jeff Bassett wrote:
>> I am creating covariance matrices from sets of points, and I a
I am creating covariance matrices from sets of points, and I am having
frequent problems where I create matrices that are non-positive
definite. I've started using the corpcor package, which was
specifically designed to address these types of problems. It has
solved many of my problems, but I sti
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