On Mon, Jul 2, 2012 at 4:16 PM, Fernando Perez fperez@gmail.com wrote:
Hi all,
in recent work with a colleague, the need came up for a multivariate
hypergeometric sampler; I had a look in the numpy code and saw we have
the bivariate version, but not the multivariate one.
I had a look at
On Mon, Jul 2, 2012 at 8:08 PM, josef.p...@gmail.com wrote:
On Mon, Jul 2, 2012 at 4:16 PM, Fernando Perez fperez@gmail.com wrote:
Hi all,
in recent work with a colleague, the need came up for a multivariate
hypergeometric sampler; I had a look in the numpy code and saw we have
the
On Mon, Jul 2, 2012 at 9:35 PM, josef.p...@gmail.com wrote:
On Mon, Jul 2, 2012 at 8:08 PM, josef.p...@gmail.com wrote:
On Mon, Jul 2, 2012 at 4:16 PM, Fernando Perez fperez@gmail.com
wrote:
Hi all,
in recent work with a colleague, the need came up for a multivariate
On Mon, Jul 2, 2012 at 7:31 PM, Skipper Seabold jsseab...@gmail.com wrote:
I could be wrong, but I think PyMC has sampling and likelihood.
It appears you're right!
http://pymc-devs.github.com/pymc/distributions.html?highlight=hypergeometric#pymc.distributions.multivariate_hypergeometric_like
On Mon, Jul 2, 2012 at 7:49 PM, Fernando Perez fperez@gmail.com wrote:
It appears you're right!
http://pymc-devs.github.com/pymc/distributions.html?highlight=hypergeometric#pymc.distributions.multivariate_hypergeometric_like
Furthermore, the code actually calls a sampler implemented in
On Mon, Jul 2, 2012 at 10:53 PM, Fernando Perez fperez@gmail.com wrote:
On Mon, Jul 2, 2012 at 7:49 PM, Fernando Perez fperez@gmail.com wrote:
It appears you're right!
nice idea:
https://github.com/pymc-devs/pymc/blob/master/pymc/distributions.py#L1670
