Ontology highlight
ABSTRACT:
SUBMITTER: Chen Z
PROVIDER: S-EPMC6052885 | biostudies-literature | 2018
REPOSITORIES: biostudies-literature
Journal of the American Statistical Association 20170926 521
Error variance estimation plays an important role in statistical inference for high dimensional regression models. This paper concerns with error variance estimation in high dimensional sparse additive model. We study the asymptotic behavior of the traditional mean squared errors, the naive estimate of error variance, and show that it may significantly underestimate the error variance due to spurious correlations which are even higher in nonparametric models than linear models. We further propos ...[more]