Curating a COVID-19 data repository and forecasting county-level death counts in the United States. - Nick Altieri 001; Rebecca L. Barter; James Duncan 002; Raaz Dwivedi; Karl Kumbier; Xiao Li; Robert Netzorg; Briton Park; Chandan Singh; Yan Shuo Tan; Tiffany M. Tang; Yu Wang 075; et al. (CoRR, 2020)

Group Probability-Weighted Tree Sums for Interpretable Modeling of Heterogeneous Data. - Keyan Nasseri; Chandan Singh; James Duncan 002; Aaron Kornblith; Bin Yu 001 (CoRR, 2022)

A Mixing Time Lower Bound for a Simplified Version of BART. - Omer Ronen; Theo Saarinen; Yan Shuo Tan; James Duncan 002; Bin Yu 001 (CoRR, 2022)

Generative Modeling of High-resolution Global Precipitation Forecasts. - James Duncan 002; Shashank Subramanian; Peter Harrington (CoRR, 2022)

VeridicalFlow: a Python package for building trustworthy data science pipelines with PCS. - James Duncan 002; Rush Kapoor; Abhineet Agarwal; Chandan Singh; Bin Yu 001 (J. Open Source Softw., 2022)

ACE: A fast, skillful learned global atmospheric model for climate prediction. - Oliver Watt-Meyer; Gideon Dresdner; Jeremy McGibbon; Spencer K. Clark; Brian Henn; James Duncan 002; Noah D. Brenowitz; Karthik Kashinath; Michael S. Pritchard; Boris Bonev; Matthew E. Peters; Christopher S. Bretherton (CoRR, 2023)

simChef: High-quality data science simulations in R. - James Duncan 002; Tiffany M. Tang; Corrine F. Elliott; Philippe Boileau; Bin Yu 001 (J. Open Source Softw., 2024)