Xiaoou Pan 潘笑鸥
I have joined Uber as an applied scientist. I obtained my Ph.D. in statistics from University of California, San Diego, advised by Professor Wen-Xin Zhou. Prior to that, I got my B.S. in Mathematics from Fudan University and M.S. in Statistics from University of Michigan, Ann Arbor.
My research projects cover:
- Statistical learning with growing (intrinsic) dimensionality using empirical process theory
- Computationally efficient quantile regression via a kernel smoothing mechanism
- Huber-type robustification for estimation, regression and multiple inference
I'll be broadly working on machine learning and causal inference, and I'm open to collaboration.
Profile: GitHub page | Google Scholar | Dissertation
Papers
- A unified algorithm for penalized convolution smoothed quantile regression (2022+), with Rebeka Man, Kean Ming Tan and Wen-Xin Zhou.
Paper
- Scalable estimation and inference for censored quantile regression process (2022+), with Xuming He, Kean Ming Tan and Wen-Xin Zhou.
The Annals of Statistics, to appear.
Paper | Supplement | Code
- Smoothed quantile regression with large-scale inference (2021+), with Xuming He, Kean Ming Tan and Wen-Xin Zhou.
Journal of Econometrics, to appear.
Paper | Package
- Multiplier bootstrap for quantile regression: Non-asymptotic theory under random design (2021), with Wen-Xin Zhou.
Information and Inference: A Journal of the IMA, 10, 813-861.
Paper | Code
- FarmTest: An R package for factor-adjusted robust multiple testing (2020), with Koushiki Bose, Jianqing Fan, Yuan Ke and Wen-Xin Zhou.
The R Journal, 12, 372-387.
Paper | Package
- Iteratively reweighted ℓ1-penalized robust regression (2021), with Qiang Sun and Wen-Xin Zhou.
Electronic Journal of Statistics, 15, 3287-3348.
Paper | Package
Teaching Assistant
Graduate division:
Undergraduate division:
- Math 189, Data Analysis and Inference.
- Math 185, Introduction to Computational Statistics.
- Math 181B, Introduction to Mathematical Statistics II.
- Math 181A, Introduction to Mathematical Statistics I.
- Math 180B, Introduction to Stochastic Processes I.
- Math 180A, Introduction to Probability.
- Math 20E, Vector Calculus.
- Math 11, Calculus-Based Introductory Probability and Statistics.
- Math 10B, Calculus II.
References
Contact
Email: xip024 AT ucsd DOT edu
Office: 2000A Applied Physics and Mathematics (AP&M) Building
Address: 9500 Gilman Dr. La Jolla, CA 92093