Non-Parametric Inference in Astrophysics
Larry Wasserman, Christopher J. Miller, Robert C. Nichol, Chris Genovese, Woncheol Jang, Andrew J. Connolly, Andrew W. Moore, Jeff Schneider, the PICA group
Abstract
We discuss non-parametric density estimation and regression for astrophysics problems. In particular, we show how to compute non-parametric 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 non-parametric Bayesian inference.
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