Non-Parametric Inference in Astrophysics
Larry Wasserman, Christopher J. Miller, Robert C. Nichol, Christopher R. Genovese, Woncheol Jang, Andrew J. Connolly, Moore, Andrew W., Jeff Schneider, group, the PICA · arXiv (Cornell University) · 2001
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.