Selected Methodological Papers (2022–2026)
Lee, K.-Y., Sun, J., Li, B., & Li, L. (2026). Generalized point process additive models. Journal of the Royal Statistical Society: Series B (Statistical Methodology), Advance Article, qkag061. DOI: 10.1093/jrsssb/qkag061
Lee, K.-Y., Li, L., & Li, B. (2024). Functional directed acyclic graphs. Journal of Machine Learning Research, 25(78), 1–48.
Lee, K.-Y., Li, L., Li, B., & Zhao, H. (2023). Nonparametric functional graphical modeling through functional additive regression operator. Journal of the American Statistical Association, 118(543), 1718–1732. DOI: 10.1080/01621459.2021.2006667
Lee, K.-Y., Ji, D., Li, L., Constable, T., & Zhao, H. (2023). Conditional functional graphical models. Journal of the American Statistical Association, 118(541), 257–271. DOI: 10.1080/01621459.2021.1924178
Lee, K.-Y. & Li, L. (2022). Functional sufficient dimension reduction through average Fréchet derivatives. The Annals of Statistics, 50(2), 904–929. DOI: 10.1214/21-AOS2131
Lee, K.-Y. & Li, L. (2022). Functional structural equation model. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 84(2), 600–629. DOI: 10.1111/rssb.12471
Additional Peer-Reviewed Methodological Articles
*Zhao, Y. & Lee, K.-Y. (2026). A comprehensive review of functional graphical models. WIREs Computational Statistics, 18(2), e70067. (*Ph.D. student co-author)
Yang, T., Lee, K.-Y., Zhang, K., & Suzuki, J. (2024). Functional linear non-Gaussian acyclic model for causal discovery. Behaviormetrika, 51(2), 567–588.
Sun, J. & Lee, K.-Y. (2024). Generalized functional linear model with a point process predictor. Statistics in Medicine, 43(8), 1564–1576.
Virta, J., Lee, K.-Y., & Li, L. (2022). Sliced inverse regression in metric spaces. Statistica Sinica, 32, 2315–2337.
Lee, K.-Y., Liu, T., Li, B., & Zhao, H. (2020). Learning causal networks via additive faithfulness. Journal of Machine Learning Research, 21(51), 1–38.
Lee, K.-Y., Li, B., & Zhao, H. (2016). Variable selection via additive conditional independence. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 78(5), 1037–1055.
Lee, K.-Y., Li, B., & Zhao, H. (2016). On an additive partial correlation operator and nonparametric estimation of graphical models. Biometrika, 103(3), 513–530.
Lee, K.-Y., Li, B., & Chiaromonte, F. (2013). A general theory for nonlinear sufficient dimension reduction: formulation and estimation. The Annals of Statistics, 41(1), 221–249.
Chen, P. C., Lee, K.-Y., Lee, T.-J., Lee, Y.-J., & Huang, S.-Y. (2010). Multiclass support vector classification via coding and regression. Neurocomputing, 73, 1501–1512.
Chiang, C.-T. & Lee, K.-Y. (2008). Efficient estimation methods for informative cluster size data. Statistica Sinica, 18, 121–133.
Discussions, Comments & Book Chapters
Lee, K.-Y., Liu, T., & Zhao, H. (2016). Comment on the discussion paper 'Causal inference by using invariant prediction: identification and confidence intervals' by Peters, Bühlmann, and Meinshausen. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 78(5), 997–998. DOI: 10.1111/rssb.12167
Lee, K.-Y., Li, B., & Zhao, H. (2022). Additive conditional independence for large and complex biological structures. In Handbook of Statistical Bioinformatics (2nd ed., pp. 183–204). Springer, Berlin, Heidelberg. DOI: 10.1007/978-3-662-65902-1_8
Collaborative Biomedical & Genomics Articles
Justice, A., Smith, R., Tate, J., McGinnis, K., Xu, K., Becker, W., Lee, K.-Y., Lynch, K., Sun, N., Concato, J., Fiellin, D., Zhao, H., Gelernter, J., & Kranzler, H. (2018). AUDIT-C and ICD codes as phenotypes for harmful alcohol use: association with ADH1B polymorphisms in two US populations. Addiction, 113(12), 2214–2224.
Gloria-Soria, A., Dunn, W., Yu, X., Vigneron, A., Lee, K.-Y., Li, M., Weiss, B., Zhao, H., Aksoy, S., & Caccone, A. (2018). Uncovering genomic regions associated with Trypanosoma infections in wild populations of the tsetse fly Glossina fuscipes. G3: Genes, Genomes, Genetics, 8(3), 887–897.
Richardson, J. B., Lee, K.-Y., Mireji, P., Enyaru, J., Sistrom, M., Aksoy, S., Zhao, H., & Caccone, A. (2017). Genomic analyses of African Trypanozoon strains to assess evolutionary relationships and identify markers for strain identification. PLOS Neglected Tropical Diseases, 11(9), e0005949.
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