哥伦比亚大学袁明教授：Information Based Complexity for High Dimensional Statistical Models

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浙江大学张荣茂教授： Nonstationary Linear Processes with Infinite Variance GARCH Errors

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多伦多大学孔德含博士：Fighting Noise with Noise: Causal Inference with Many Candidate Instruments

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香港城市大学王军辉教授:Network embedding and community detection in directed networks

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中山大学黄辉教授：Efficient Calibration of Numerical Model Outputs

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香港大学朱柯副教授：Empirical asset pricing via the conditional quantile variational autoencoder

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OPPO研究院齐越博士：隐私计算在保护用户敏感数据上的实践与挑战

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美国密歇根大学宋学坤教授：Newton growth model: A nonparametric Bayesian method with a prior of the Ornstein-Uhlenbeck process

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中国人民大学刘勇副教授：无监督泛化误差分析初探

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南加州大学 Jinchi Lv教授: "RANK: Large-Scale Inference with Graphical Nonlinear Knockoffs"

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宾夕法尼亚州立大学马彦源教授：Measurement Error Models

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中国科学院张新雨研究员：Optimal parameter-transfer learning by semiparametric model averaging

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南京审计大学吕绍高副教授:Debiased distributed learning for sparse partial linear models in high dimensions

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英国伯明翰大学雷云文博士：基于随机梯度下降的统计学习

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香港科技大学杨灿副教授： MR-APSS: a unified approach to Mendelian Randomization accounting for pleiotropy, sample overlap and selection bias using the genome-wide summary data

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香港大学 李国栋教授：High-dimensional vector autoregressive time series modeling via tensor decomposition

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加州大学戴维斯分校蒋继明教授： MIXED MODEL PREDICTION and SMALL AREA ESTIMATION

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加州大学伯克利分校丁鹏副教授:Berry-Esseen bounds for design-based causal inference with possibly diverging treatment levels and varying group sizes

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密西根大学宋学坤教授： Regularized estimation with L-zero penalty in the causal mediation analysis

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北京大学周晓华教授： Inference on Partial Correlations with Application to Brain Imaging

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