Preprints

• Setting the duration of online A/B experiments
  Harrison H. Li and Chaoyu Yu (2024)

• Efficient combination of observational and experimental datasets under general restrictions on outcome mean functions
  Harrison H. Li (2024)

• RbX: Region-based explanations of prediction models
  Ismael Lemhadri, Harrison H. Li and Trevor Hastie (2022)

Journal articles

• Double machine learning and design in batch adaptive experiments
  Harrison H. Li and Art B. Owen. Journal of Causal Inference, in press.

• A general characterization of optimal tie-breaker designs Harrison H. Li and Art B. Owen. Annals of Statistics, 2023. Journal link

The following papers are meteorological data analysis projects from my high school and early undergraduate years. From a statistical perspective they are quite methodologically routine.

• Suppression of Arctic Air Formation with Climate Warming: Investigation with a Two-Dimensional Cloud-Resolving Model
  Timothy W. Cronin, Harrison H. Li and Eli Tziperman. Journal of Atmospheric Sciences, 2017

• Future Changes in Convective Storm Days over the Northeastern United States Using Linear Discriminant Analysis Applied to CMIP5 Predictions
  Harrison H. Li and Brian A. Colle. Journal of Climate, 2016

• Multidecadal Changes in the Frequency and Ambient Conditions of Warm Season Convective Storms over the Northeastern United States
  Harrison H. Li and Brian A. Colle. Journal of Climate, 2014