Publications
• Lee, K.-Y., Li, L., and Li, B. (2024). Functional directed acyclic graphs. Journal of Machine Learning research.
• Yang, T., Lee, K.-Y., Zhang, K., and Suzuki, J. (2024). Functional linear non-Gaussian acyclic model. Behaviormetrika.
• Sun, J. and Lee, K.-Y. (2024). Generalized functional linear model with a point process predictor. Statistics in Medicine, 43(8), 1564-1576.
• Lee, K.-Y., Li, L., Li, B., and Zhao, H. (2023) Nonparametric functional graphical modeling through functional additive regression operator. Journal of the American Statistical Association, 118(543), 1718-1732
• Lee, K.-Y., Ji, D., Li, L., Constable, T., and Zhao, H. (2023) Conditional functional graphical models. Journal of the American Statistical Association, 118(541), 257-271.
• Lee, K.-Y. and Li, L. (2022) Functional structural equation model. Journal of the Royal Statistical Society: Series B, 84(2): 600-629.
• Lee, K.-Y. and Li, L. (2022) Functional sufficient dimension reduction through average Fréchet derivatives. Annals of Statistics, 50(2): 904-929.
• Verta, J. Lee, K.-Y. and Li, L. (2022). Sliced inverse regression in metric space. Statistica Sinica, 32, 2315-2337.
• Lee, K.-Y., Li, B. and Zhao, H. (2022). Additive conditional independence for larger and complex biological structures, Handbook of Statistical Bioinformatic II. Springer Berlin Heidelberg.
• Lee, K.-Y., Liu, T., Li, B., and Zhao, H. (2020) Learning causal networks via additive faithfulness. Journal of Machine Learning Research, 21(51), 1-38.
• Lee, K.-Y., Li, B. and 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. and Zhao, H. (2016) Variable selection via additive conditional independence. Journal of the Royal Statistical Society: Series B, 78 (5), 1037-1055. Matlab codes
• Lee, K.-Y., Liu, T. and Zhao, H. (2016) Comment on the discussion paper `Causal inference using invariant prediction: identification and confidence intervals' by Peters et al. Journal of the Royal Statistical Society: Series B, 78, 947-1012.
• Lee, K.-Y., Li, B. and Chiaromonte, F. (2013) A general theory of nonlinear sufficient dimension reduction: formulation and estimation. Annals of Statistics, 41, 221-249. R codes
• Richardson, J. B., Lee, K.-Y., Mireji, P., Enyaru, J., Sistrom, M., Aksoy, S., Zhao, H., and Caccone, A. (2017) Genomic analyses of African Trypanozoon strains to assess evolutionary rela-tionships and identify markers for strain identification. PLOS Neglected Tropical Diseases, 11(9).
• 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).
• 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., and Kranzler, H. (2018) AUDITC and ICD codes as phenotypes for harmful alcohol use: association with ADH1B polymorphisms in two US populations. Addiction, 8(3).
• Chen, P. C., Lee, K.-Y., Lee, T.-J., Lee, Y.-J. and Huang, S.-Y. (2010) Multiclass support vector classification via coding and regression. Neurocomputing, 73, 1501-1512.
• Chiang, C.-T. and Lee, K.-Y. (2008) Efficient estimation methods for informative cluster size data. Statistica Sinica, 18, 121-133.