– Han, S., Hwang, J., Chang, W. (2026+) Stick-Breaking Mixture Normalizing Flows with Component-Wise Tail Adaptation for Variational Inference, submitted
– Cheng, Y., Olson, R., Shin, J., An, S-I, Chang, W. (2026+) Long-Term Historical Slowdown in Atlantic Meridional Overturning Circulation, submitted
– Lee, S., Chang, W., Mateu, J., Lee, H., Park, J. (2026+) A Spatio-Temporal Dirichlet Process Mixture Model on Linear Networks for Crime Data, submitted
– Xie, J., Jeon, H., Chang, W., Jeon, Y., Li, Z., Ma, Q., Chung, D. (2026+) spaDesign: A Statistical Framework to Improve the Design of Sequencing-based Spatial Transcriptomics Experiments, submitted
– Alamari, M., Chang, W. (2026+) Various-Neighbor Neural Network Emulator for Computer Models with Large Spatial Output, accepted for publication in Journal of Agricultural, Biological and Environmental Statistics
– Chang, W., Haran, M. (2026+) Computer Model Emulation and Calibration for Discrete Data. In Bingham, D., Haran, M., Oakley, J., Sanso, B. (Ed.), Handbook of Statistical Methods for Computer Modeling, accepted for publication
– Zhang, Y., Chang, W., Dieckhaus, K., Jo, S., Han, J., Baek, H. J., Noh, E., Yoon, K., Kim, J. A., Jung, J., Peck, K. R., Jeong, H.-S., Lee, J.-W., Kim, A.-R., Do, H. N., Jo, Y., Kim, D.-H. (2026+) Protective Effectiveness of SARS-CoV-2 Infection Risk among Hybrid, Vaccine, and Infection-Induced Immunity against the Omicron Variant, K-SEROSMART, accepted for publication at Open Forum Infectious Diseases
– Lim, D., Ko, K. T., Lee, H., Choi, B., Chang, W., Choi, S., Kim, J. K. (2025) A History-Dependent Approach for Accurate Initial Condition Estimation in Epidemic Models, PLOS Computational Biology, 21 (9), e1013438
– Lee, H., Wilcox, P., Chang, W. (2025) Interpretable Machine Learning and Criminological Theories: Global Evidence on Bullying Perpetration and Victimization (2001–2014), Journal of Criminal Justice, 100, 102474
– Chang, W., Hwang, Y., Kim, H. J. (2025) Physics-Driven Dynamic Interpolation with Application to Pollution Satellite Images, Spatial Statistics, 69, 100923
– Lee, K., Chang, W., Cao, X. (2025) The Joint Local Dependence Cholesky Prior for Bandwidth Selection across Multiple Groups, Bayesian Analysis, 20 (4), 1539–1558
– Hu, Z., Chang, W., Jang, Y., Jo, Y., Jung, J. (2025) Dynamic Interactions of COVID-19 Incidences, Mobility, and Social Distancing Policies in Seoul: A VAR Model Approach, Scientific Reports, 15, 24288
– Cho, D., Chang, W., Park, J. (2025) Fast Computer Model Calibration Using Annealed and Transformed Variational Inference, Journal of Computational and Graphical Statistics, 34 (2), 474–487
– Hwang, Y., Kim, H. J., Chang, W., Hong, C., MacEachern, S. N. (2025) Bayesian Model Calibration and Sensitivity Analysis for Oscillating Biological Experiments, Technometrics, 67 (2), 333–343
– Bonas, M., Datta, A., Wikle, C. K., Boone, E. L., Alamri, F., Hari, B. V., Kavila, I., Simmons, S. J., Jarvis, S. M., Burr, W. S., Pagendam, D., Chang, W., Castruccio, S. (2025) Assessing Predictability of Environmental Time Series with Statistical and Machine Learning Models, Environmetrics, 36 (1), e2864
– Park, Y., Chang, W. (2024) A Personalized Dose-Finding Algorithm Based on Adaptive Gaussian Process Regression, Pharmaceutical Statistics, 23 (6), 1181–1205
– Jeon, Y., Chang, W., Jeong, S., Park, J. (2024) A Bayesian Convolutional Neural Network-Based Generalized Linear Model, Biometrics, 80 (2), ujae057
– Kim, H., Chang, W., Chae, S. J., Park, J.-E., Seo, M., Kim, J. K. (2024) scLENS: Data-Driven Signal Detection for Unbiased scRNA-seq Data Analysis, Nature Communications, 15, 3575
– Jo, H., Hong, H., Hwang, H. J., Chang, W., Kim, J. K. (2024) Density Physics-Informed Neural Network Reveals Sources of Cell Heterogeneity in Signal Transduction, Patterns, 5 (2), 100899
– Wang, S., Kim, S., Cho, H., Chang, W. (2024) Nonparametric Predictive Model for Sparse and Irregular Longitudinal Data, Biometrics, 80 (1), ujad023