AI Helps Solve Statistical Problem
FlorianGallwitz · x · 2026-07-15
AI has helped solve a major problem in statistics: how to control the False Discovery Rate (FDR) in multiple hypothesis testing.
The article reviews the BH procedure, introduced by Benjamini and Hochberg in 1995. It proved capable of controlling FDR under independent data, leading to its widespread use in high-throughput scientific fields like genomics, astronomy, and economics.
However, real-world data is often correlated, such as linkage disequilibrium in genetic variation data. Subsequent research has continuously tried to generalize the BH procedure to correlated data scenarios. The article mentions that Benjamini and Yekutieli (2001) also studied its validity under positive dependency.
Related event: GPT-5.6 Reportedly Found a BH Counterexample(8 posts)→
More from AGI Musings
- dunkhippo33 Shares How He Thinks About Raising Kids in the AI Era — kimmonismus · 2026-10-27
- Friends Keep Asking How Bad AI Will Get — Here's How I Think About Raising My Kids — dunkhippo33 · 2026-10-27
- Investor's AI-era parenting thesis: adaptability, entrepreneurship and sales beat STEM — dunkhippo33 · 2026-10-27
- 'Half the sites I try via agents block access' — the anti-bot paradox holding back the agentic economy — XFreeze · 2026-10-27
- Cosmos Institute launches Oxford AI philosophy journal with $10,000 best-paper prize — lawhsw · 2026-10-27
- Stop remaking old games with AI: a call for more ambitious agentic software — rschu · 2026-10-27