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学术报告:美国圣裘德儿童研究医院生物统计系康国莲教授 2024-09-29
统计与数据科学学院学术报告报告人：康国莲 教授报告时间：10月11日9:00-10:00报告地点：统计与数据科学学院 109会议室报告题目：A Novel One-Sample Mendelian Randomization Approach for Count-type Outcome Robust to Correlated and Uncorrelated Ple...[详细]
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学术报告：山东大学何勇教授 2024-09-25
报告题目：Knowledge Transfer across Multiple Principal Component Analysis Studies摘 要：Transfer learning has aroused great interest in the statistical community. In this article, we focus on knowledge transfer for unsupervised learning...[详细]
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学术报告：中央财经大学杨玥含教授 2024-09-25
报告题目：Transfer learning on stratified data: joint estimation transferred from strata摘 要：In this talk，we discuss the target model with the help of auxiliary models from different but possibly related groups. Inspired by transfer ...[详细]
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学术报告：东北财经大学康晓宁教授 2024-09-25
报告题目：A Novel Method for Modeling QQ Data摘 要：In many scientific areas, data with mixed quantitative and qualitative (QQ) responses are commonly encountered with a large number of predictors. By exploring the association between Q...[详细]
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统计机器学习与因果效应评估系列学术报告（10） 英国爱丁堡大学陈泽汛博士报告 2024-08-28
报告题目：Generic Inference for Gaussian Process Models报告人： 陈泽汛 博士 （英国爱丁堡大学）报告时间：2024年8月30日下午 15:00-16:00报告地点：腾讯会议（215-121-098）报告摘要：Gaussian Process (GP) modelling is pivotal in machine learnin...[详细]
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北京理工大学助理教授虞俊学术报告 2024-08-23
Title: Subsampling techniques: Method, Design, and ApplicationsAbstract: Survey sampling is one of the most practiced areas of statistics. This lecture will center on the understanding of some basic survey sampling methods in analysis bi...[详细]
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华东师范大学统计学院王亚平教授学术报告 2024-08-23
Title: Uniform designs of experiments with mixtures under the criterion mean L1-distance and a new approach to Scheffé-type designs Abstract: Mixture experiments analyze how changes in component proportions impact the response variab...[详细]
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天津大学荣喜民教授学术报告 2024-06-24
报告题目：Target benefit pension plan with longevity risk and intergenerational equity报告摘要： We study a stochastic model for a target benefit pension plan suffering from rising longevity and falling fertility. Policies for postponin...[详细]