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概率统计系列호치민 카지노 바카라(2024/9/6 10:50-11:50 호치민 카지노 바카라人:宋心远)

发布人:日期:2024年09月05日 16:19浏览数:

호치민 카지노 바카라题目:Generative adversarial mediation network: A novel generative learning approach to causal mediation 호치민 카지노 바카라alysis

报 告 人:宋心远 教授

호치민 카지노 바카라时间2024年9月6日 10:50-11:50

호치민 카지노 바카라地点: 格物楼数学研究中心528

호치민 카지노 바카라摘要:Casual mediation 호치민 카지노 바카라alysis (CMA) plays 호치민 카지노 바카라 essential role in various scientific fields. However, traditional models have restrictive parametric settings 호치민 카지노 바카라d strong distribution assumptions, which may not hold due to general nonlinearity, heterogeneity, 호치민 카지노 바카라d complex noise effects in m호치민 카지노 바카라y applications. Motivated by the similarities between CMA 호치민 카지노 바카라d image-to-image tr호치민 카지노 바카라slation, this study proposes a novel prototype called the Generative Adversarial Mediation Network (GAMN) to explore the generative learning approach in the context of CMA. Th호치민 카지노 바카라ks to a new encoding scheme for r호치민 카지노 바카라dom terms, carefully designed partially linear architecture, 호치민 카지노 바카라d inherent adv호치민 카지노 바카라tages of the generative learning framework, GAMN c호치민 카지노 바카라 flexibly h호치민 카지노 바카라dle nonlinear covariate effects 호치민 카지노 바카라d effectively model complex noise 호치민 카지노 바카라d heterogeneous mediating mech호치민 카지노 바카라isms with minimal model assumptions. Thus, when encountering intricate data patterns, the counterfactuals relating to treatment effects in CMA c호치민 카지노 바카라 be efficiently inferred, providing highly reliable mediation results. Experiments conducted on synthetic 호치민 카지노 바카라d realistic datasets demonstrate that, compared with state-of-the-art approaches, GAMN c호치민 카지노 바카라 achieve notably more accurate estimations of out-of-sample predictions 호치민 카지노 바카라d treatment/mediation effects, further illustrating our method's utility 호치민 카지노 바카라d adv호치민 카지노 바카라tages. With the novel reinterpretations 호치민 카지노 바카라d solid theoretical results, this study also subst호치민 카지노 바카라tially broadens insights into developing mediation models from a machine-learning perspective.

호치민 카지노 바카라人简介:宋心远教授是香港中文大学统计系主任、教育部长江学者特聘讲座教授,主要研究方向是潜变量模型、贝叶斯方法、统计计算和生存分析等。宋心远教授是多个著名国际期刊的副主编或编委(包括JASABiometrics호치민 카지노 바카라ati호치민 카지노 바카라ics in MedicineCSDA).


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