New Approach to False Discovery Rate Control Proposed

This ArXiv paper introduces a general stability approach to control the False Discovery Rate (FDR), a critical concept in statistical analysis and machine learning. The work likely offers a new perspective on controlling FDR, potentially improving the reliability of research findings and the performance of algorithms.

• •The paper presents a novel approach to controlling the False Discovery Rate.
• •This approach uses a general stability framework.
• •The research has implications for improving the reliability of statistical analyses.