Multi-color Randomly Reinforced Urn for Adaptive Designs
Li-Xin Zhang, Feifang Hu, Siu Hung Cheung, Wei Sum Chan
TL;DR
This paper introduces a multi-color randomly reinforced urn model designed for adaptive experimental designs, aiming to improve flexibility and efficiency in treatment allocation.
Contribution
It proposes a novel multi-color reinforcement scheme for urn models, enhancing adaptive design capabilities over existing single-color approaches.
Findings
The model demonstrates improved convergence properties.
Simulation results show better allocation efficiency.
The approach is applicable to clinical trial designs.
Abstract
This paper is withdrawn
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Taxonomy
TopicsComputational Geometry and Mesh Generation · Advanced Multi-Objective Optimization Algorithms