*Author order is determined alphabetically.
Yichao Li*, Wenshuo Wang*, Ke Deng and Jun S Liu. (2023). Differentiable Particle Filters with Smoothly Jittered Resampling. Statistica Sinica. [journal] [BibTeX]
Wenshuo Wang, Lucas Janson, Lihua Lei and Aaditya Ramdas. (2023). Total Variation Floodgate for Variable Importance Inference in Classification. In submission. [pdf] [arXiv] [BibTeX]
Wenshuo Wang. (2021). Overcoming the Curse: Statistical Theory and Methods in High Dimensions. Ph.D. Dissertation.
Wenshuo Wang and Lucas Janson. (2022). A Power Analysis of the Conditional Randomization Test and Knockoffs. Biometrika. [pdf] [journal] [arXiv] [BibTeX]
Siliang Gong, Wenshuo Wang, Weijie J. Su and Qi Long. (2020). Per-Family Error Rate Control for Gaussian Graphical Models via Knockoffs. In Submisson.
Yichao Li*, Wenshuo Wang*, Ke Deng and Jun S Liu. (2021). Stratification and Optimal Resampling for Sequential Monte Carlo. Biometrika. [pdf] [journal] [arXiv] [BibTeX]
Stephen Bates*, Emmanuel Candès*, Lucas Janson* and Wenshuo Wang*. (2020). Metropolized Knockoff Sampling. Journal of the American Statistical Association. [pdf] [journal] [arXiv] [tutorial] [code] [Keynote] [poster] [BibTeX]
This paper received the 2019 Dempster Award, an annual award in honor of Professor Arthur P. Dempster. See the Keynote file above for the 2019 Dempster presentation. In case of any compatibility issue, try this link. To quickly move between slides without animations, use the arrow buttons while pressing shift.
A Power Analysis of the Conditional Randomization Test and Knockoffs. Bernoulli-IMS One World Symposium, August 2020
Stratification and Optimal Resampling for Sequential Monte Carlo. Joint Statistical Meetings (JSM), August 2020
Metropolized Knockoff Sampling. Dempster Prize Colloquium, November 2019
Metropolized Knockoff Sampling. Joint Statistical Meetings (JSM), July 2019
Challenges in High-Dimensional Variable Selection. Models, Inference & Algorithms (MIA) Seminar at the Broad Institute, December 2018
Metropolized Knockoff Sampling. New England Statistics Symposium (NESS), May 2019