Gaoxiang Zhao

A Mallows-like Criterion for Anomaly Detection with Random Forest Implementation

2024 · arXiv (Cornell University)

The effectiveness of anomaly signal detection can be significantly undermined by the inherent uncertainty of relying on one specified model. Under the framework of model average methods, this paper proposes a novel criterion to select …