NeurIPS 2015poster20 citations
Optimal Ridge Detection using Coverage Risk
Yen-Chi Chen, Christopher R Genovese, Shirley Ho, Larry Wasserman
Abstract
We introduce the concept of coverage risk as an error measure for density ridge estimation.The coverage risk generalizes the mean integrated square error to set estimation.We propose two risk estimators for the coverage risk and we show that we can select tuning parameters by minimizing the estimated risk.We study the rate of convergence for coverage risk and prove consistency of the risk estimators.We apply our method to three simulated datasets and to cosmology data.In all the examples, the proposed method successfully recover the underlying density structure.
BibTeX
@inproceedings{NIPS2015_0aa1883c,
author = {Chen, Yen-Chi and Genovese, Christopher R and Ho, Shirley and Wasserman, Larry},
booktitle = {Advances in Neural Information Processing Systems},
editor = {C. Cortes and N. Lawrence and D. Lee and M. Sugiyama and R. Garnett},
pages = {},
publisher = {Curran Associates, Inc.},
title = {Optimal Ridge Detection using Coverage Risk},
url = {https://proceedings.neurips.cc/paper_files/paper/2015/file/0aa1883c6411f7873cb83dacb17b0afc-Paper.pdf},
volume = {28},
year = {2015}
}