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  • 美国北卡罗来纳大学教堂山分校刘玉峰教授:Learning Optimal Dynamic Treatment Regimes under Risk Constraints
  • 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
  • 北京大学苗旺助理教授:Identifying effects of multiple treatments in the presence of unmeasured confounding
  • 加州大学尔湾分校Annie Qu教授:Multicategory Angle-based Learning for Estimating Optimal Dynamic Treatment Regimes with Censored Data
  • 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
  • 加州大学伯克利分校李乐昕教授:Testing Mediation Effects Using Logic of Boolean Matrices with Applications in Neuroimaging Mediation Analysis
  • 香港城市大学王军辉教授:Network embedding and community detection in directed networks
  • 普渡大学王啸教授:Inferential Wasserstein Generative Adversarial Networks
  • 加州大学伯克利分校丁鹏副教授:Multiply robust estimation of causal effects under principal ignorability
  • 北京大学席瑞斌教授:生物医学大数据的统计分析
  • 南京审计大学吕绍高教授:Nonparametric optimality for large compressible deep neural networks under quadratic loss functions
  • 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
  • 微众银行人工智能部副总经理吴海山博士:人工智能和另类数据在资产管理中的应用
  • 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
  • 加拿大温哥华西蒙弗雷泽大学: In-game Win Probabilities for the National Rugby League
  • 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
  • 新加坡国立大学栗家量(LI JIALIANG)副教授:Semiparametric Model Averaging Prediction for Dichotomous Response
  • 罗格斯大学Prof.Cun-Hui Zhang:Factor Models for High-Dimensional Tensor Time Series
  • 康涅狄格大学陈昆(CHEN KUN)副教授: Improving suicide risk prediction through integrative statistical learning
  • 哥伦比亚大学袁明教授:Information Based Complexity for High Dimensional Statistical Models
  • 中国科学技术大学王学钦教授:A Polynomial Algorithm for Best Subset Selection Problem
  • 新加坡国立大学夏应存教授:传染病动态数据的数学及统计建模中的几个问题
  • 加州大学戴维斯分校彭捷教授:纤维束方向分布函数估计及其在使用HCP D-MRI数据研究脑侧化中的应用
  • 伊利诺伊大学香槟分校陈玉国教授:Popularity-Adjusted Block Models for Networks with Community Structure
  • 普林斯顿大学范剑青教授:Statistical Inference on Membership Profiles in Large Networks
  • 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
  • 密西根大学宋学坤教授: Regularized estimation with L-zero penalty in the causal mediation analysis
  • 加州大学河滨分校李业华教授: Spatially Dependent Functional Data: Covariance Estimation, Principal Component Analysis, and Kriging
  • 美国亚利桑那大学张灏教授: Scalable and Model-free Methods for Multiclass Probability Estimation
  • 密西根大学何旭铭教授:How Good is Your Best Selected Subgroup(你选到的最好亚组到底有多好)?
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