4 papers
Robust Quickest Change Detection in Non-Stationary Processes
Yingze Hou, Yousef Oleyaeimotlagh, Rahul Mishra +2
Optimal algorithms are developed for robust detection of changes in non-stationary processes. These are processes in which the distribution of the data after change varies with tim…
Robust Quickest Change Detection with Sampling Control
Yingze Hou, Hoda Bidkhori, Taposh Banerjee
The problem of quickest detection of a change in the distribution of a sequence of random variables is studied. The objective is to detect the change with the minimum possible dela…
A Novel Methodology in Credit Spread Prediction Based on Ensemble Learning and Feature Selection
Yu Shao, Jiawen Bai, Yingze Hou +2
The credit spread is a key indicator in bond investments, offering valuable insights for fixed-income investors to devise effective trading strategies. This study proposes a novel…
Robust Quickest Change Detection in Multi-Stream Non-Stationary Processes
Yingze Hou, Hoda Bidkhori, Taposh Banerjee
The problem of robust quickest change detection (QCD) in non-stationary processes under a multi-stream setting is studied. In classical QCD theory, optimal solutions are developed…