Department of Statistics Unitmark
Dietrich College of Humanities and Social Sciences

Nonparametric Inference in Astrophysics

Publication Date

August, 2001

Publication Type

Tech Report

Author(s)

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.