[AstroPy] Maximum likelihood fit to unbinned data

Paul Barrett pebarrett@gmail....
Sat Dec 22 17:14:05 CST 2012


What type of data are you trying to fit; time series, spectral or image?

You might want to take a look at what the gamma-ray community has
done, since almost all of their analysis involves photon lists.  You
could also try searching the astrostatistics website.

Personally, I would use a Bayesian approach.  I have successfully used
the Nested Sampling approach to fit FUSE and Chandra spectra. This
algorithm succeeded where the traditional Levenberg-Marquardt
algorithm did not.  The algorithm is described in "Data Analysis: A
Bayesian Approach" by D.S. Sivia.  One of the best introductions to
the subject in my opinion.

 -- Paul

On Sat, Dec 22, 2012 at 1:22 PM, Eduardo Balbinot
<eduardo.balbinot@gmail.com> wrote:
> A bit off-topic, but....
> Anyone could point to a good guide to fitting unbinned data using a maximum
> likelihood estimator?
> It would be a nice idea to have it on astropy with most used density
> profiles (Hubble, Plummer, King, etc...). If I manage to do it we could
> discuss including it on astropy.
> Thanks!
> -- Eduardo Balbinot
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