On Mon, Jan 18, 2010 at 1:23 AM, george216 <george.br...@gmail.com> wrote:
>
> Dear professor Michael Creel,
> the other time you advised me to use the functions mle _estimate and
> mle_example in order to calculate the standard deviations and given my large
> number of parameters to  estimate, do these two functions incorporate also
> the "Limited memory" to both benefit from the speed of convergence and the
> standard deviations of parameters. Can you please refer me to documents that
> explain the algorithm samin (Preferably these materials are not very
> complicated).
> Best regards.
>
> Michael Creel wrote:



Hi George,
To use lbfgs, you need to specify that the 5th element of of the cell
array "control" (the 3rd arg to bfgsmin) be a non-negative integer. It
is the number of iterations of memory used to form the approximate
Hessian. To use that with mle_example, you would need to edit line 48.
For a problem like yours, I would experiment with from 3 to 5 or 6
iterations of memory. For samin, do "help samin" and also examine and
run samin_example.m. A reference is this paper:
http://www.bepress.com/snde/vol1/iss3/algorithm1/
Cheers, Michael

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