Workshop Statistical Frontiers in LLMs and Foundation Models NeurIPS 2024
[News]
Deep Limit Model-free Prediction in Regression (Working)
[Papers]
Scalable Subsampling Inference for Deep Neural Networks (Working)
[Papers]
Bootstrap prediction inference of nonlinear autoregressive models
[Papers]
MATH 11 Calculus-Based Introductory Probability and Statistics UCSD Spring2024 (Associate Instructor)
[Teaching]
MATH 11 Calculus-Based Introductory Probability and Statistics UCSD Fall2023 (Associate Instructor)
[Previous-Teaching]
Multi-Step-Ahead prediction intervals for nonparametric autoregressions via Bootstrap: consistency, debiasing, and pertinence
[Papers]
MATH 10A Calculus I UCSD Summer2023 (Associate Instructor)
[Teaching]
Advance to Candidacy
[News]
A model-free approach to do long-term volatility forecasting and its variants
[Papers]
Receive Richard Libby Graduate Research Award
[News]
Model-free time-aggregated predictions for econometric datasets
[Papers]