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  • 南加州大学 Yingying Fan教授: An Empirical Bayes Solution for Selection Bias in Functional Data
  • 香港科技大学荆炳义教授:FEAT: an Flexible, Efficient, and Accurate Test Strategy for COVID-19
  • 普渡大学王啸教授:Inferential Wasserstein Generative Adversarial Networks
  • 江苏师范大学赵鹏教授:A Multivariate Frequency-Severity Model for Healthcare Data Breaches
  • 香港中文大学张浩然博士:Gaussian Chain Graph: Identifiability, Estimation and Asymptotics
  • 上海交通大学罗珊副教授:Feature Selection by Canonical Correlation Search in High-Dimensional Multiresponse Models With Complex Group Structures
  • 北京交通大学修乃华教授: 稀疏逻辑回归分类的牛顿算法
  • 北京大学林伟教授:Nonasymptotic theory for two-layer neural networks: Beyond the bias–variance trade-off
  • Duke-NUS 医学院成青博士:MR-LDP: a two-sample Mendelian randomization for GWAS summary statistics accountinglinkage disequilibrium and horizontal pleiotropy
  • 耶鲁大学马双鸽教授:Hierarchical Cancer Heterogeneity Analysis Based On Histopathological Imaging Features
  • 华东师范大学於州教授 : 深度非线性降维
  • 美国加州大学河滨分校马舒洁教授:Causal inference vía artificial neural networks
  • 北卡罗来纳大学教堂山分校曾冬林教授:Learning Optimal Dynamic Treatment Regimes under Risk Constraints
  • 新加坡国立大学栗家量(LI JIALIANG)副教授:Semiparametric Model Averaging Prediction for Dichotomous Response
  • 中国人民大学郭绍俊副教授:Regularization for High Dimensional Functional Data: Functional Thresholding and Fast Computation
  • 清华大学林乾副教授:Generalization ability of wide neural networks on R
  • 伊利诺伊大学芝加哥分校 陈大川博士: Principal Component Analysis and Realized Regression with Asynchronous and Noisy High Frequency Data
  • 美国密西根大学 Peter XK Song教授:Self-learning of individual treatment rules in precision health with missing data
  • 哥伦比亚大学袁明教授:Information Based Complexity for High Dimensional Statistical Models
  • 浙江大学张荣茂教授: Nonstationary Linear Processes with Infinite Variance GARCH Errors