A Bayesian Approach To Histogram Comparison

Details A Bayesian Approach To Histogram Comparison A Bayesian Approach To Histogram Comparison

2010-09-28

arxiv.org/abs/1009.5604v1

Physics

Data Analysis, Statistics and Probability

19 pages, 7 figures

Scientific paper

Determining if two histograms are consistent, whether they have been drawn from the same underlying distribution or not, is a common problem in physics. Existing approaches are not only limited in power but also inapplicable to histograms filled with importance weights, a common feature of Monte Carlo simulations. From a Bayesian perspective, the comparison between a single underlying distribution and two underlying distributions is readily solved within the context of model comparison. I introduce an implementation of Bayesian model comparison to the problem, including the extension to importance sampling.

Affiliated with

Also associated with

No associations

Rating

A Bayesian Approach To Histogram Comparison does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with A Bayesian Approach To Histogram Comparison, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Bayesian Approach To Histogram Comparison will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-694613