加州大学伯克利分校石磊博士生：Asymptotic theory for the quadratic assignment procedure二次分配程序的渐近理论

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加州大学伯克利分校丁鹏副教授：Factorial Difference-in-Differences因子差分中的差分

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伦敦政治经济学院史成春副教授：Statistical Inference in Reinforcement Learning

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美国西北大学夏志宏教授：A new algorithm for machine learning and artificial intelligence

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NIAID Jing Qin教授：Conformal Prediction Intervals and Predictive Distributions

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卡内基梅隆大学Jiashun Jin教授：Network modeling and Goodness-of-Fit

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麦吉尔大学张启煌助理教授：具有响应测量误差的零膨胀泊松模型

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拉夫堡大学刘鹏博士：Functional Linear Quantile Regression on a Two-dimensional Domain

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伦敦政治经济学院Qiwei Yao教授：Probabilistic Forecasting for Daily Electricity Loads and Quantiles for Curve-to-Curve Regression

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普林斯顿大学范剑青教授：Ranking Inferences Based on the Top Choice of Multiway Comparisons

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加州大学伯克利分校丁鹏副教授：Principal Stratification with Continuous Post-Treatment Variables: Nonparametric Identification and Semiparametric Estimation

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加州大学尔湾分校Annie Qu教授：Individualized Dynamic Model for Multi-resolutional Data with Application to Mobile Health

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卡内基梅隆大学雷径教授：Conformal Inference, Covariate Shift, and De-biased Two-Sample U-Statistics

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肯塔基大学张嘉伟助理教授：Is a classification procedure good enough?—A goodness-of-fit assessment tool for classification learning

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大连理工大学李长城教授：一种新的免模型高维变量选择方法

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美国田纳西大学陈夏教授：Intermittency for hyperbolic Anderson equations with time-independent Gaussian noise: Stratonovich regime

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明尼苏达⼤学邹晖教授:稀疏卷积秩回归

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美国佐治亚州立大学赵亦川教授:Bayesian Jackknife Empirical Likelihood-based Inference for Missing Data and Causal Inference

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乔治•华盛顿大学梁华教授:Estimation of Tobit Models and Related TopicsTobit

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埃默里大学张菁菲教授:Modeling networks with textual edges

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