Non-Parametric Inference in Astrophysics
天体物理学
2007-05-23 v1
摘要
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.
引用
@article{arxiv.astro-ph/0112050,
title = {Non-Parametric Inference in Astrophysics},
author = {Larry Wasserman and Christopher J. Miller and Robert C. Nichol and Chris Genovese and Woncheol Jang and Andrew J. Connolly and Andrew W. Moore and Jeff Schneider and the PICA group},
journal= {arXiv preprint arXiv:astro-ph/0112050},
year = {2007}
}
备注
Invited presentation at "Statistical Challenges in Modern Astronomy III" July 18-21 2001 Penn St. University. See http://www.picagroup.org for more information on the PICA group membership, software and recent papers