国产自拍

  • 学术报告:南开大学刘民千教授 2024-11-08

    报告题目:Orthogonal space-filling designs摘 要:Column-orthogonality and space-filling property are perhaps two most desirable design properties for computer experiments. Column-orthogonality allows the estimates of the main effects in ...[详细]

  • 学术报告:北京大学艾明要教授 2024-11-08

    报告题目:Optimal Subsampling for Big Data: from ‘Static Data’ to ‘Data Streams’摘 要:Subsampling methods are effective techniques to reduce computational burden and maintain statistical inference efficiency for big data. In this ta...[详细]

  • 非线性期望及其相关领域系列报告 2024-11-08

    题目:Stochastic Indefinite Partially Observed Large-population Problem 摘要:We investigate an indefinite linear-quadratic partially observed large-population problem with common noise, where both the state-average and control-average a...[详细]

  • 武汉大学林乾教授报告 2024-10-25

    报告题目:A Tale of Fear and Euphoria in the Stock Market报告人:林乾时间:10月28 日 14:00地点:学院106办公室报告内容简介:The talk proposes a consumption-based model to explain puzzling unstable, i.e., sometimes positive and sometimes ...[详细]

  • 统计机器学习与因果效应评估系列学术报告(11)北京大学宋晓军副教授报告 2024-10-17

    报告题目:Testing for Heterogeneous Treatment Effects in FRD报告人:宋晓军 副教授 (北京大学)报告时间:2024年10月23日下午 16:00-17:00报告地点:学院会议室109报告摘要:Treatment effect heterogeneity has attracted significant attention in r...[详细]

  • 华东师范大学钱林义教授学术报告 2024-10-11

    报告题目:From Bytes to Bucks: The Influence of Social Media Commentary on Private Placement in Chinese Listed Companies 报告摘要:Motivated by the rise of public comments on social media platforms, this study investigates the influence...[详细]

  • 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

    国产自拍 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:国产自拍 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]

  • 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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