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Nonparametric Inference in Astrophysics

The Pittsburgh Institute for Computational Astrostatistics (PICA)(Woncheol Jang, Chris Miller, Andy Connolly, Jeff Schneider, Chris Genovese, Bob Nichol, Andrew Moore and Larry Wasserman)

Abstract:

We discuss nonparametric density estimation and regression for astrophysics problems. In particular, we show how to compute nonparametric confidence intervals for the location and size of peaks of a function. We illustrate these ideas with recent data on the Cosmic Microwave Background. We also briefly discuss nonparametric Bayesian inference.

Here is the full pdf text for this technical report.