Improving Statistical Algorithms with Claude and Gemini
IanArawjo · x · 2026-07-16
The author shares their experience using LLMs for scientific research: Gemini provided the initial concept, and Claude Sonnet 3.5 handled the code implementation. The model successfully generalized an FWER correction method for pairwise confidence intervals into a universal version applicable to any CI method by reversing the alpha value instead of the critical value. This demonstrates the practical orchestration and coding capabilities of LLMs in cross-domain algorithmic innovation.
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