Sample for non-parametric two dimensional distribution of data?

[Zahra Sheikh]

I have a set of observational data redshifts and errors of galaxy's  ellipticities (shape measurement error) and I want to generate a mock data for these two quantities based on the non-parametric distribution of real data by using rejection sampling method. I am wondering whether it is possible to use pymc to sample via the non-parametric two dimensional distribution of my data?

[John Salvatier]

We don't have a rejection sampler implemented right now, but its otherwise possible, as long as you have a function for calculating the likelihood.

On Wed, Jun 18, 2014 at 6:55 AM, Zahra Sheikh <sheikh...@gmail.com> wrote:

I have a set of observational data redshifts and errors of galaxy's  ellipticities (shape measurement error) and I want to generate a mock data for these two quantities based on the non-parametric distribution of real data by using rejection sampling method. I am wondering whether it is possible to use pymc to sample via the non-parametric two dimensional distribution of my data?

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