A Distribution-Free Sequential Selection Strategy: Data-Driven Optimal Allocation via Balancing Empirical Large Deviations
The ranking and selection problem is a classic mathematical framework about identifying the best alternative from multiple alternatives through sampling them. However, the uncertainty about sampling distributions in the ranking and selection problem has been relatively overlooked, and related research is just starting...