Publications

* indicates co-first authorship. Underline indicates a mentored Master’s or Ph.D. student.

Park, J. and Gaynanova, I. (2026+) Fréchet regression of multivariate distributions with nonparanormal transport. arXiv:2603.07014. [R package NonparaTransport].
- IMS New Researchers Travel Award
Shao, E.*, Park, J.*, Punjabi, N., Jiang, H., and Gaynanova, I. (2026+) Fast distance computation between multivariate distributions via nonparanormal Transport. Under R&R at Journal of Computational and Graphical Statistics. [R package NonparaTransport]. (Shao, E. received IMS Hannan Graduate Student Travel Award 2026)
Park, J., Park, C., Ahn, J. (2026+) Geometry-preserving and interpretable dimension reduction of compositional data. arXiv:2509.05563. Python codes.

Xu, C., Schmidt, B.M., Krambrink, A., Park, J., Song, P.X.-K., Jones, T.L.Z., Holmes, C., Chen, K., Ye, W., Kolenic, G., Roy, S., Sen, C., Pop-Busui, R., Spino, C., and Gaynanova, I. (2026) Profiling Longitudinal Wound Healing: Analysis of Healing Rates and the Predictive Power of Wound Area and Duration in the Diabetic Foot Consortium. Wound repair and regeneration, Vol. 34, No. 4, e70189.
Park, J., Kok, N., and Gaynanova, I. (2026) Beyond fixed thresholds: optimizing summaries of wearable device data via piecewise linearization of quantile functions. Statistics in Medicine, Vol. 45, No. 15-17, e70646. [R package OptiThresholdR]
Yeon, K., Gao, F., Kim, R., Lee, D., Park, J., Brown, D.A., and Park, C. (2026) A Bayesian Approach to Semi-Supervised Domain Adaptation in Streaming Data. Journal of Statistical Computation and Simulation, 96(9), 2237–2262.
Park, J., Ahn, J., and Park, C. (2023) Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data, Proceedings of the 40th International Conference on Machine Learning (ICML). Github.
Kang, I., Choi, H., Yoon, Y.-J., Park, J., Kwon, S.-S., and Park, C. (2023), Frechet Distance-Based Cluster Analysis for Multi-Dimensional Functional Data, Statistics and Computing, 33(4), 75.
Park, J., Yoon, C., Park, C., and Ahn, J. (2022), Kernel Methods for Radial Transformed Compositional Data with Many Zeros, Proceedings of the 39th International Conference on Machine Learning (ICML).

Multiple Imputation of Missing Predictors and Inference in Fréchet Regression of Distributional Responses (Park, J., Szeto, N., Qian, L., Yang, T., Kok, N., and Gaynanova, I.)