AI has helped resolve an important question about BH correction in statistics
Edgar Dobriban@EdgarDobribanAI has helped resolve an important question in statistics. In the area of multiple hypothesis testing, the goal of controlling the false discovery rate (FDR) has been introduced in a seminal paper by Benjamini and Hochberg (1995). They also introduced a method (the Benjamini-Hochberg or BH method) and proved it controls the FDR.
- ▪Edgar Dobriban@EdgarDobribanAI has helped resolve an important question in statistics.
- ▪In the area of multiple hypothesis testing, the goal of controlling the false discovery rate (FDR) has been introduced in a seminal paper by Benjamini and Hochberg (1995).
- ▪They also introduced a method (the Benjamini-Hochberg or BH method) and proved it controls the FDR.
Opening excerpt (first ~120 words) tap to expand
Edgar Dobriban@EdgarDobribanAI has helped resolve an important question in statistics. In the area of multiple hypothesis testing, the goal of controlling the false discovery rate (FDR) has been introduced in a seminal paper by Benjamini and Hochberg (1995). They also introduced a method (the Benjamini-Hochberg or BH method) and proved it controls the FDR. This method has been widely adopted in modern high-throughput science, including in genomics, astronomy, economics, etc. The paper has has garnered more than 130,000 citations to date. However Benjamini and Hochberg showed FDR control only when the data for the individual tests are *independent*. In practice, these data are often dependent; a good example is data on genetic variants due to linkage disequilibrium.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Hacker News - Newest: ""AI" "LLM"".
Discussion
0 commentsMore from Hacker News - Newest: ""AI" "LLM""
