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<div class="moz-cite-prefix">On 13-02-10 10:39 AM, Mollie Brooks
wrote:<br>
<br>
Its pretty complicated, but the first question would be why should
it be positive definite.<br>
Without understanding the special structure all I see is a way of
parameterizing a<br>
symmetric matrix via a bunch of parameters. since S_ij = S_ji by<br>
construction it is symmetric, but why positive definite.<br>
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<blockquote cite="mid:2D9845BB-D05E-4767-91F3-90CA22EE70F4@ufl.edu"
type="cite">
<pre wrap="">Thanks for the response.
I'm attaching the code and a tiny simulated data set. I can send a larger simulated dataset if it helps. I also attached the R code I used to simulate the data.
The attached pdf contains the formula for the variance covariance matrix as "Process Error". The "Predictions" are temporally autocorrelated latent variables that determine the Bernoulli process of whether or not there is water in the pond.
thanks,
Mollie
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Mollie Brooks
Postdoctoral Researcher, Ponciano Lab
Biology Department, University of Florida
<a class="moz-txt-link-freetext" href="http://people.biology.ufl.edu/mbrooks">http://people.biology.ufl.edu/mbrooks</a>
On 10 Feb 2013, at 11:54 AM, dave fournier wrote:
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<pre wrap="">Hard to say much that isn't probably wrong without seeing your code etc.
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