新加坡国立大学 张金廷教授：Simple and Adaptive Tests for High-Dimensional Data

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浙江大学骆威博士:A unified generalization of inverse regression via adaptive column selection

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新加坡国立大学林振华博士：High-dimensional MANOVA via Bootstrapping and its Application to Functional and Sparse Count Data

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普渡大学林共进教授：Interval Data: Modeling and Visualization

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明尼苏达大学 杨宇泓教授：Model selection and combination for estimating treatment effects

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无量资本投资总监司亚卿博士:人工智能及其在量化投资中的应用

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明尼苏达大学杨宇红教授:Goodness of Fit Testing for Binary Regression: How to Go beyond Hosmer–Lemeshow Test?

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上海交通大学刘卫东教授： 去中心化网络上的中位数快速算法

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芝加哥大学 王静姝博士：Estimating Causal Relationship for Complex Traits with Weak and Heterogeneous Genetic Effects

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浙江大学骆威副教授:On efficient dimension reduction with respect to the interaction between two response variables

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香港科技大学 李莹莹教授: High-dimensional Minimum Variance Portfolio Estimation Based on High-frequency Data

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山东大学林路教授:A Correlation-Ratio Transfer Learning and Variational Stein's Paradox

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宾夕法尼亚大学苏炜杰副教授:Gaussian Differential Privacy and Some Computational Challenges

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加州大学伯克利分校丁鹏副教授：Multiply robust estimation of causal effects under principal ignorability

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新加坡国立大学 余涛副教授: Pairwise-rank-likelihood methods for the semiparametric transformation model

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康奈尔大学宁洋博士：Optimal and Safe Estimation for High-Dimensional Semi-Supervised Learning

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北京师范大学 陈木法院士: 交叉研究的感悟

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东北师范大学郑术蓉教授：Central limit theorems of high-dimensional sample correlation matrix under two stuctures

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美国杜克大学李凡教授：Propensity score weighting in causal inference

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德克萨斯大学 罗曦副教授: Covariate Assisted Principal Regression for Covariance Matrix Outcomes

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