报告题目:Construction of Column-Orthogonal Designs with Two-Dimensional Stratifications
报告人:柳松楠 中国石油大学(华东)讲师
报告人简介:柳松楠,研究方向主要为数据分析与试验设计、随机微分方程。2023年12月获南开大学理学博士学位,2024年1月至今任中国石油大学(华东)理学院数据科学与统计系讲师,已在Applied Mathematics And Computation,Scientific Reports等SCI期刊发表多篇论文。
报告摘要:For the design of computer experiments, column orthogonality and space-filling are two desirable properties. In this paper, we develop methods for constructing a new class of columnorthogonal designs (ODs) with two-dimensional stratifications on finer grids, including orthogonal Latin hypercube designs (OLHDs) as special cases. In addition to being column-orthogonal, these designs have good space-filling properties in two dimensions. The resulting designs achieve stratifications on s2×s or s×s2 grids, and most column pairs satisfy stratifications on s2×s2 grids. Moreover, many column pairs can achieve stratifications on s4×s2 and s2×s4 grids. Furthermore, the obtained space-filling ODs can have s6 levels, s4 levels, and mixed levels, as required for different needs.
报告时间:2024年4月29日15:00-17:00
报告地点:研究生楼302室
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