论文标题
自适应实验和I型错误验证和计算实验设计的严格框架
Adaptive Experiments and a Rigorous Framework for Type I Error Verification and Computational Experiment Design
论文作者
论文摘要
该博士学位论文涵盖了自适应实验设计的多个领域的突破：（i）（第2章）精确医学时代的新型临床试验设计和统计方法。 （ii）（第3章）多军强盗理论，应用于学习医疗保健系统和临床试验。 （iii）（第4章）匪徒和协变量过程，具有有限和不可估计的武器集。 （iv）（第5章）基于模拟的自适应设计属性验证的严格框架。
This PhD thesis covers breakthroughs in several areas of adaptive experiment design: (i) (Chapter 2) Novel clinical trial designs and statistical methods in the era of precision medicine. (ii) (Chapter 3) Multi-armed bandit theory, with applications to learning healthcare systems and clinical trials. (iii) (Chapter 4) Bandit and covariate processes, with finite and non-denumerable set of arms. (iv) (Chapter 5) A rigorous framework for simulation-based verification of adaptive design properties.
