Raymond Wong

  • Associate Professor, Department of Statistics, Texas A&M University
Raymond is an Associate Professor in the Department of Statistics, Texas A&M University, and an Executive Committee Member of the Research Institute for Foundations of Interdisciplinary Data Science (FIDS), funded by the NSF TRIPODS Initiative. He is also an Associate Editor of the Journal of Computational and Graphical Statistics, and the Awards Chair of both the ASA Section on Statistical Computing and the ASA Section on Statistical Graphics.

News

  • June 2022: Paper on 'Hierarchical Nuclear Norm Penalization for Multi-view Data' is now on arXiv. [link]
  • May 2022: Jiayi has passed her Ph.D. final exam. She will join UT Dallas as an Assistant Professor starting this August. Congratulations!
  • March 2022: Paper on 'A New Constraint on the Nuclear Equation of State from Statistical Distributions of Compact Remnants of Supernovae' has been accepted by the Astrophysical Journal Letters. [link]
  • March 2022: Paper on 'Estimation of Partially Conditional Average Treatment Effect by Double Kernel-covariate Balancing' has been accepted by the Electronic Journal of Statistics. [link]
  • December 2021: Paper on 'A Wavelet-Based Independence Test for Functional Data with an Application to MEG Functional Connectivity' has been accepted by the Journal of the American Statistical Association. [link]
  • November 2021: Paper on 'A New Constraint on the Nuclear Equation of State from Statistical Distributions of Compact Remnants of Supernovae' is now on arXiv. [link]
  • September 2021: Paper on 'Implicit Sparse Regularization: The Impact of Depth and Early Stopping' has been accepted by the Conference on Neural Information Processing Systems (NeurIPS). [link]
  • September 2021: Paper on 'Projected State-action Balancing Weights for Offline Reinforcement Learning' is now on arXiv. [link]