Department of Statistics, Seoul National University

Publications

Journals

  1. Mohammed B. Alamari, Won Chang. Various-Neighbor Neural Network Emulator for Computer Models with Large Spatial Output, accepted for publication in Journal of Agricultural, Biological and Environmental Statistics, 2026+. Article
  2. Yifan Zhang, Won Chang, Kevin Dieckhaus, Suyoung Jo, Jina Han, Hye Jin Baek, Eunbi Noh, Kyuhyun Yoon, Jung Ae Kim, Jaehun Jung, Kyong Ran Peck, Hye-Sook Jeong, June-Woo Lee, Kim Ah-Ra, Hyeon Nam Do, Youngji Jo, Dong-Hyun Kim. 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, 2026+. Article
  3. Dongju Lim, Kyeong Tae Ko, Hyojung Lee, Boseung Choi, Won Chang, Sunhwa Choi, Jae Kyoung Kim. A History-Dependent Approach for Accurate Initial Condition Estimation in Epidemic Models, PLOS Computational Biology, 21 (9), e1013438, 2025. DOI
  4. Heejin Lee, Pamela Wilcox, Won Chang. Interpretable Machine Learning and Criminological Theories: Global Evidence on Bullying Perpetration and Victimization (2001-2014), Journal of Criminal Justice, 100, 102474, 2025. DOI
  5. Won Chang, Youngdeok Hwang, Hang J. Kim. Physics-driven dynamic interpolation with application to pollution satellite images, Spatial Statistics, 69, 100923, 2025. Article
  6. K. Lee, Won Chang, X. Cao. The joint local dependence Cholesky prior for bandwidth selection across multiple groups, Bayesian Analysis, 20 (4), 1539-1558, 2025. DOI
  7. Zeyu Hu, Won Chang, Youngook Jang, Youngji Jo, Jaehun Jung. Dynamic Interactions of COVID-19 Incidences, Mobility, and Social Distancing Policies in Seoul: A VAR Model Approach, Scientific Reports, 15, 24288, 2025. Article
  8. Dongkyu Derek Cho, Won Chang, Jaewoo Park. Fast Computer Model Calibration using Annealed and Transformed Variational Inference, the Journal of Computational and Graphical Statistics, 34 (2), 474-487, 2025. DOI
  9. Youngdeok Hwang, Hang J. Kim, Won Chang, Christian Hong, Steven N. MacEachern. Bayesian Model Calibration and Sensitivity Analysis for Oscillating Biological Experiments, Technometrics, 67 (2), 333-343, 2025. DOI
  10. Matthew Bonas, Abhirup Datta, Christopher K. Wikle, Edward L. Boone, Faten S. Alamri, Bhava Vyasa Hari, Indulekha Kavila, Susan J. Simmons, Shannon M. Jarvis, Daniel E. Pagendam, Won Chang, Stefano Castruccio. Assessing Predictability of Environmental Time Series with Statistical and Machine Learning Models, Environmetrics, 36 (1), e2864, 2025. DOI

Submitted Manuscripts

  1. Hyerim Lee, Dayeon Yoon, Yizi Cheng, Won Chang. Inverse Computer Model Calibration Approach with Conditional Variational Auto-encoder, submitted, 2026+.
  2. Seungsu Han, Juyoung Hwang, Won Chang. Stick-Breaking Mixture Normalizing Flows with Component-Wise Tail Adaptation for Variational Inference, submitted, 2026+. arXiv
  3. Yizi Cheng, Roman Olson, J. Shin, Sang-I An, Won Chang. Long-Term Historical Slowdown in Atlantic Meridional Overturning Circulation, submitted, 2026+.
  4. Sujeong Lee, Won Chang, Jorge Mateu, Heejin Lee, Jaewoo Park. A Spatio-Temporal Dirichlet Process Mixture Model on Linear Networks for Crime Data, submitted, 2026+. arXiv
  5. Juan Xie, Hyeongseon Jeon, Won Hee Chang, Yeseul Jeon, Z. Li, Q. Ma, Dongjun Chung. spaDesign: A Statistical Framework to Improve the Design of Sequencing-based Spatial Transcriptomics Experiments, submitted, 2026+. bioRxiv

Book Chapters

  1. Won Chang, Murali Haran. 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, 2026+.