报告人:刘民千
报告地点:线上腾讯会议(会议ID:836-386-717)
报告时间:2026年10月23日星期五 9:00-10:00
邀请人:赵强
报告摘要:
Mirror symmetric orthogonal Latin hypercubes (MSOLHs) are efficient designs for computer experiments as they enjoy both high-order orthogonality and one-dimensional maximum stratification. The construction of MSOLHs is limited and challenging. In this talk, we propose a construction method for MSOLHs using orthogonal arrays from Reed-Solomon codes. Theoretical results guarantee that the resulting MSOLHs enjoy attractive orthogonality and low-dimensional space-filling properties. Moreover, some of them are optimal under the maximin distance criterion. Simulation comparisons are also provided to demonstrate the superiority of the proposed MSOLHs over existing designs.
主讲人简介:
刘民千,南开大学杰出教授、博士生导师,统计与数据科学学院副院长。国家级高层次领军人才、享受国务院政府特殊津贴专家,现兼任教育部高等学校统计学类专业教学指导委员会委员、中国现场统计研究会试验设计分会主任委员、国际统计期刊Communications in Statistics系列的Associate Editor等。长期从事统计与数据科学研究,已在JRSSB、AoS、JASA、Biometrika、中国科学等国内外重要期刊发表学术论文180余篇,合作出版专著、译著和教材6部;主持国防973子课题1项、国家自然科学基金各类项目10项、教育部高校博士点基金项目1项;曾获得教育部自然科学奖二等奖、全国统计科学研究优秀成果一等奖、宝钢优秀教师等多项省部级奖励和荣誉称号。