报告题目:Model averaging estimation for probability density functions报告人:邹国华 教授报告摘要: Extraction of information from data is critical in the age of data science. Theoretically probability density function provides comprehens...[详细]
报告题目:Deterministic Sampling of Expensive Posteriors Using Kullback-Leibler Divergence报告人:孙法省 教授报告摘要: This paper introduces a new way of discrete approximation a continuous probability distribution F into a set of repres...[详细]
报告题目:Large-Scale Datastreams Surveillance via Pattern-Oriented-Sampling报告人:邹长亮 教授报告摘要: Monitoring large-scale datastreams with limited resources has become increasingly important for real-time detection of abnormal acti...[详细]
报告题目:Wordlength enumerator for fractional factorial designs 报告人:唐煜 教授报告摘要:While the minimum aberration criterion is popular for selecting good designs with qualitative factors under an ANOVA model, the minimum β-abe...[详细]
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]
我院研究生2020年评奖评优名单公示,请查看附件[详细]
我院研究生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]