Practical Bayesian modeling and inference for massive spatial data sets on modest computing environments. - Lu Zhang 076; Abhirup Datta; Sudipto Banerjee (Stat. Anal. Data Min., 2019)

Pandemic velocity: Forecasting COVID-19 in the US with a machine learning & Bayesian time series compartmental model. - Gregory L. Watson; Di Xiong; Lu Zhang 076; Joseph A. Zoller; John Shamshoian; Phillip Sundin; Teresa Bufford; Anne W. Rimoin; Marc A. Suchard; Christina M. Ramirez (PLoS Comput. Biol., 2021)

Bayesian modeling of incompatible spatial data: A case study involving Post-Adrian storm forest damage assessment. - Lu Zhang 076; Andrew O. Finley; Arne Nothdurft; Sudipto Banerjee (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Deep Feature Gaussian Processes for Single-Scene Aerosol Optical Depth Reconstruction. - Shengjie Liu 001; Lu Zhang 076 (IEEE Geosci. Remote. Sens. Lett., 2024)