报告题目:G-optimal Designs for Hierarchical Linear Models: an Equivalence Theorem and a Nature-inspired Meta-heuristic Algorithm报告人:岳荣先 教授报告摘要:Hierarchical linear models are widely used in many research disciplines and es...[详细]
统计学院研究生2020年评奖评优名单公示,请查看附件[详细]
统计学院研究生2020年学业奖学金获奖情况汇总表,请查看附件[详细]
报告题目:Detecting the skewness of data from the sample size and the five-number summary报告人:石建栋 报告摘要:For clinical studies with continuous outcomes, when the data are potentially skewed, researchers may choose to report the w...[详细]
报告题目:Algorithm in Optimal Mixture Design报告人:张崇岐 教授 报告摘要:In this talk, we discuss disadvantages of the classical algorithms which may affect the convergence speed and accuracy in finding D-optimal designs of certain mix...[详细]
报告题目:Orthogonal arrays and quantum entangled states报告人:庞善起 教授报告摘要:A pure quantum state of N subsystems, each with d levels, is said to be k-uniform if all of its reductions to k qudits are maximally mixed. There is a...[详细]
题目:Conditional Test for Ultrahigh Dimensional Linear Regression Coefficients报告人:钟威时间:2020年11月6日 10:00-11:00地点:腾讯会议 ID 100 190 344 摘要:This paper is concerned with a conditional test for the overall significance ...[详细]
题目:Estimating Number of Factors by Adjusted Eigenvalues Thresholding 报告人:郑术蓉时间:2020年11月6日 9:00-10:00地点:腾讯会议 ID 100 190 344 摘要:Determining the number of common factors is an important and practical topic in high-...[详细]