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)


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.

Heidi Sestrich
Here is the full pdf text for this technical report.