2 papers
stat.AP2026
Ensuring Trustworthy Online A/B Testing: Addressing Five Key Questions on CUPED
Yu Zhang, Bokui Wan, Yongli Qin +2
A/B testing has become the gold standard for data-driven decision-making in large-scale online experimentation, providing critical guidance for feature launch, pricing optimization…
stat.ML2025
Beyond Normality: Reliable A/B Testing with Non-Gaussian Data
Junpeng Gong, Chunkai Wang, Hao Li +3
A/B testing has become the cornerstone of decision-making in online markets, guiding how platforms launch new features, optimize pricing strategies, and improve user experience. In…