报告时间：2024年3月20日（周三）10：00-11：00
报告地点：明德主楼1016
报告主题：
Constructions of maximin distance designs and orthogonal maximin distance designs
报告摘要：
One attractive class of space-filling designs for computer experiments is that of maximin distance designs. Algorithmic search for such designs is commonly used but this method becomes ineffective for large problems. Theoretical construction of maximin distance designs is challenging; some results have been obtained recently, often by employing highly specialized techniques. This paper presents an easy-to-use method for constructing maximin distance designs. Orthogonality is another desirable property for computer experiments. We present a systematic method for constructing orthogonal maximin distance designs with flexible numbers of runs and factors.
报告人简介：
李文龙，现为北京交通大学数学与统计学院教师，曾为北京理工大学数学与统计学院博士后，合作导师为田玉斌教授。硕士毕业于华中师范大学概率论与数理统计专业，导师为覃红教授；博士毕业于南开大学统计学专业，导师为刘民千教授；博士期间赴加拿大西蒙弗雷泽大学统计与精算学系联合培养1年，合作导师为Boxin Tang教授。主要研究方向为试验设计和计算机试验。
现已在《中国科学》、 《Biometrika》 、《Joural of Statistical Planning and Inference》、 《Statistical Papers》、《Journal of Systems Science and Complexity》 等统计学重要期刊上发表多篇SCI学术论文，主持国家自然科学基金青年基金和中国博士后科学基金面上基金各1项。
