J. Lei, K. Chen and H. Moon (2026+), Least Squares Inference for Data with Network Dependency. Under review. [link]

Y. Kim, H. Moon and S. Jung (2026+), An Association Measure for Mixed-Types Variables. Under review.

H. Moon, L. Sloofman, M. Natividad Avila, L. Klei, B. Devlin, J. Buxbaum and K. Roeder (2026), A framework to infer de novo exonic variants when parental genotypes are missing enhances association studies of autism. Bioinformatics, 42(5), btag177. [link] 

H. Moon and K. Chen (2026), Frequent-voting Independence Screening for Data of Different Types or Different Dimensions. Statistica Sinica, 36(2) 1-21. [link]

H. Moon, J. Du, J. Lei and K. Roeder (2025),  Augmented doubly robust method for post-imputation inference in proteomic data. Annals of Applied Statistics. 19(2) 1006-1027. [link] [recording]

H. Moon and K. Chen (2022), Interpoint-ranking sign covariance for the test of independence. Biometrika. 109(1) 165-179. [link]