Lim, Y. and Park, Y. (2025) Enhancing Air Quality Forecasting with Functional Neural Networks: A Case Study of PM2.5 in Seoul. Atmospheric Pollution Research. 16, 12. 102732. [link]
Han, K., Park, Y. and Kim, S-Y. (2025) Statistical inference for partially shape-constrained function-on-scalar linear regression models. Computational Statistics and Data Analysis. 211, 108200. [link]
Park, Y., Oh, H-S., Lim, Y. (2023) A data-adaptive dimension reduction for functional data via penalized low-rank approximation. Statistics and Computing. 34, 36. [link]
Park, Y., Han, K., and Simpson, D. G. (2023) Testing linear operator constraints in functional response regression with incomplete response functions. Electronic Journal of Statistics. 17(2): 3143-3180. [link]
Park, Y., Kim, H., and Lim, Y. (2023). Functional principal component analysis for partially observed elliptical process. Computational Statistics and Data Analysis. 184, 107745. [link]
Park, Y., Kim, H., and Lim, Y. (2023). Change points detection for nonstationary multivariate time series. Communications for Statistical Applications and Methods. 30:369-388. [link]
Park, Y., Li, B., and Li, Y. (2023). Crop yield prediction using Bayesian spatially varying coefficient models with functional predictors. Journal of the American Statistical Association. 118:541, 70-83. [link]
Park, Y., Chen, X., and Simpson, D. G. (2022). Robust inference for partially observed functional response data. Statistica Sinica. 32, 2265-2293. [link]
Park, Y. and Simpson, D. G. (2019). Robust probabilistic classification applicable to irregularly sampled functional data. Computational Statistics and Data Analysis. 131, 37--49. [link]
Lim, Y., Park, Y., and Oh, H-S. (2013). Robust principal component analysis via ES-algorithm, Journal of the Korean Statistical Society. 43, 149-159. [link]
Kang, S., and Park, Y. (2024). Issue frames influencing peacebuilding efforts in war in Ukraine: An analysis of global news and implications for South Korea. The Journal of Digital Economy and Society, 2(2), 261-302.
Campos, F., Wikberg, E. C., Orkin, J.D., Park, Y., Snyder-Mackler, N., Hernandez, S., Navarro, R., Fedigan, L.M., Gurven, M., Higham J.P., Jack, K.M., and Melin A.D. (2024). Wild Capuchin Monkeys as a Model System for Investigating the Social and Ecological Determinants of Ageing. Philosophical Transactions of the Royal Society B: Biological Sciences.
Kang, S. , Park, Y., and Caro, V. (2024). Framing of Russia-Ukraine war: comparisons of global news. Journal of Media Research. Vol. 17, Issue 2(49), 24-43.
Teaching & learning student engagement and learning in the time of Covid-19. (2020). Urban Education Institute at UTSA. [Technical report]
Wirtzfeld, L. A., Ghoshal, G, Rosado-Mendez, I. M., Nam, K., Kumar, V., Park, Y., Pawlicki, A., Kurowski, M., Hartman, E., Miller, R., Labyed, Y., Simpson, D. G., Bigelow, T. A., Zagzebski, J. A., Oelze, M. L., Hall, T. J., and O'Brien, W. D. (2015). Quantitative ultrasound comparison of MAT and 4T1 mammary tumors in mice and rats across multiple imaging systems, Journal of Ultrasound in Medicine. 34, 1373--1383.
Park, Y. and Han, A. Robust domain selection for functional data via interval-wise testing and effect size mapping. Revised and Resubmitted.
Park, Y., Li, B., and Li, Y. Deep Spatial Neural Net Models with functional predictors: Application in large-scale crop yield prediction. [link] Under review
Wallig, M., O’Brien, W. D., Andre, M. P., Han, A., Park, Y., and Kabir, R. Exploration of structure function to identify a statistical correlation with total severity score: A method to determine steatotic liver disease. Revised and Resubmitted.
Kim, Y., Park, Y., Chandrasekaran, D., Gretz, R. and Basuroy, S. The impact of post-launch continuous improvement on user engagement in digital products: Evidence from the mobile application industry. Under revision.
Internal Research Awards (INTRA) Seed Grant Program: Deep learning approaches to functional data analysis: Applications from data reconstruction to predictive modeling. University of Texas at San Antonio. Role: PI
Aging Research in Animals (ARIA): Promoting Rigorous Research on Behavioral and Social Processes. National Institutes of Health. Role: Collaborator.