Original paper
Efficient Sampling Allocation Procedures for Optimal Quantile Selection
Abstract
We propose a dynamic sampling allocation and selection paradigm for finding the alternative with the optimal quantile in a Bayesian framework. Myopic allocation policies (MAPs), analogous to existing methods in classic ranking and selection for selecting the alternative with the optimal mean, and computationally efficient selection policies are derived for selecting the alternative with the optimal quantile. Under certain conditions, we prove...
Paper Details
Title
Efficient Sampling Allocation Procedures for Optimal Quantile Selection
Published Date
Jan 1, 2021
Journal
Volume
33
Issue
1
Pages
230 - 245
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History