Kim, M., Wang, L. and Wang, H. (2025+) Estimation and Inference of Quantile Spatially Varying Coefficient Models Over Complicated Domains. Journal of the American Statistical Association, Accepted.
Lee, J., Kim, M., Kim, Y., Yang, S.Y., Lee, J., Oh, S., Byun, S., Kim, Y.H. and Park, Y.E. (2025+) Bayesian period-varying Poisson modeling with reduced-rank regression. Stat, Accepted.
Kim, S., Kim, M. and Lee, D. (2025+) Geographically weighted sparse regression using counting norm regularization for environmental data. Communications for Statistical Applications and Methods, Accepted.
Goh, G., Yu, J., Kim, M. and Tack, J. (2025+) Bayesian space-time varying coefficient modeling for climate econometrics: A spatial-temporal Gaussian process approach. Journal of Econometrics, Accepted.
Kim, Y., Cho, M., Jeon, C., Goh, G., and Kim, M. (2025+) Neuroinflammatory Suppression with Protocatechuic Acid Attenuates Alzheimer’s Disease Phenotypes in 5×FAD Transgenic Mice. Biomedicine & Pharmacotherapy, Accepted.
Kim, M. and Goh, G. (2024). A sparse empirical Bayes approach to high-dimensional Gaussian process-based varying coefficient models. Stat, 13(2), e678.
Chen, Y., Kim, M. and Fouzia, S. (2024). Climate-Related Disaster Exposure and Regional Migration. The Annals of Regional Science, 73, 795-824.
Lopez, V., et al. (2024). Challenges of COVID-19 Case Forecasting in the US, 2020-2021. PLOS Computational Biology, 20(5), e1011200.
Wang, G., Gu, Z., Li, X., Yu, S., Kim, M., Wang, Y., Gao, L. and Wang, L. (2023). Comparing and Integrating US COVID-19 Data from Multiple Sources with Anomaly Detection and Repairing. Journal of Applied Statistics, 50(11-12).
Chen, Y., Xue, L., Jung, J. and Kim, M. (2023). Administrative Cost of US Counties and Local Context Dependence. The Review of Regional Studies, 53(1).
Baiocchi, G. C., Vojdani, A., Rosenberg, A. Z., Vojdani, E., Halpert, G., Ostrinski, Y., Zyskind, I., Filgueiras, I. S., Schimke, L. F. , Marques, A. H. C., Giil, L. M., Lavi, Y. B., Silverberg, J. I., Zimmerman, J., Hill, D. A., Thornton, A., Kim, M., De Vito, R., Fonseca, D. L. M. , Plaça, D. R., Freire, P. P., Camara, N. O. S., Calich, V. L. G., Scheibenbogen, C., Heidecke, H., Lattin, M. T., Ochs, H. D., Riemekasten, G., Amital, H., Shoenfeld, Y. and Cabral-Marques, O. (2023). Cross‐sectional analysis reveals autoantibody signatures associated with COVID‐19 severity. Journal of Medical Virology, 95(2), e28538.
Kim, M., De Vito, R. , Duarte, F., Tieskens, K., Luna, M., Salazar-Miranda, A., Mazzarello, M., Showalter-Otts, S., Etzel, C., Burks, S., Crossley, K., Lee, N. F. and Walker, E. D. (2023). Boil Water Alerts and Their Impact on the Unexcused Absence Rate in Public Schools in Jackson, Mississipp. Nature Water, 1(4).
Cramer, E. Y., et al. (2022). Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US. Proceedings of the National Academy of Sciences (PNAS), 119(15), e2113561119.
Cramer, E. Y., et al (2022). The United States COVID-19 Forecast Hub dataset. Scientific Data, 9(1), 1–15.
Sotzny, F., Filgueiras, I.S., Kedor, C., Freitag, H., Wittke, K., Bauer, S., Sepulveda, N., Fonseca, D.L.M., Baiocchi, G.C., Marues, A.H.C., Kim, M., Lange, T., Placa, G.C., Luebber, F., Paulus, F.M., De Vito, R., Jurisica, I., Schulze-Forster, K., Paul, F., Bellmann-Strobl, J., Rust, R., Hoppmann, U., Shoenfeld, Y., Riemekasten, G., Heidecke, H., Cabral-Marques, O. and Scheibenbogen, C. (2022). Dysregulated autoantibodies targeting vaso-and immunoregulatory receptors in Post COVID Syndrome correlate with symptom severity. Frontiers in immunology, 5182.
Wang, Y., Kim, M., Yu, S., Li, X., Wang, G. and Wang, L. (2022). Nonparametric Estimation and Inference for Spatiotemporal Epidemic Models, Journal of Nonparametric Statistics, 34(3), 683-705.
Sampino, E. V., Morgan, J., Chorzalska, A., Nguyen, L., Yu, C., Rodriguez, A., Pardo, M., Bonal, D., Liang, O., Kim, M., De Vito, R., Lulla, R.R. and Dubielecka, P.M. (2022). Comparative flow cytometry-based immunophenotyping analysis of peripheral blood leukocytes before and after fixation with paraformaldehyde. Journal of Immunological Methods, 511, 113379.
Kim, M., Wang, L. and Zhou, Y. (2021). Spatially Varying Coefficient Models with Sign Preservation of the Coefficient Functions, Journal of Agricultural, Biological and Environmental Statistics, 26, 367-386.
Kim, M., Gu, Z., Yu, S., Wang, G. and Wang, L. (2021). Methods, challenges, and practical issues of COVID-19 projection: a data science perspective. Journal of Data Science, 19(2), 219-242
Wang, L., Wang, G., Li, X., Yu, S., Kim, M., Wang, Y., Gu, Z. and Gao, L. (2021). Modeling and Forecasting COVID-19, Notices of the American Mathematical Society, 68, 585-595.
Kim, M. and Wang, L. (2021). Generalized Spatially Varying Coefficient Models, Journal of Computational and Graphical Statistics, 30(1), 1-10.