[4] Young Investigator Program, National Research Foundation of Korea (RS-2024-00345167), Principal Investigator, 2024/04-2027/03
현대 기후 연구를 위한 시공간 통계적 모형 개발(우수신진연구)
[3] General Researcher Program, National Research Foundation of Korea (NRF-2021R1F1A1049185), Principal Investigator, 2021/06-2024/08
빅데이터 분석을 위한 공간통계학 모형에 관한 연구(기본연구)
[2] Start-up Research Grant, Hanyang University, Principal Investigator, 2020/09-2022/02
기상기후 빅데이터를 위한 구 차원상의 비등상성 공분산 모형
[1] Start-up Research Grant, University of Maine, Principal Investigator, 2018/09-2020/08
[17] Yang, S. J. and Jeong, J. (2025+), "Spatiotemporal modeling of wind speed fields over the Korean peninsula using 3D-CNN and β-VAE for probabilistic forecasting", submitted.
[16] Park, Y., Jang, M. J., Jeong, J., and Kim, S. (2025+), submitted.
[15] Choi, Y., Jeong, J., and Choi, J. (2025+), "Leveraging Surplus Electricity: Profitability of Bitcoin Mining as a National Strategy in South Korea", submitted. https://arxiv.org/abs/2505.00303
[14] Kim, J, Kim, T., and Jeong. J. (2025+), "Spatio-Temporal Analysis of Wave Power Around the Korean Peninsula", submitted.
[13] Lee, S. and Jeong, J. (2025), "Portfolio Optimization Using a Covariance Structure Based on Dynamic Time Warping", Finance Research Letters, 83, 107642. https://doi.org/10.1016/j.frl.2025.107642
[12] Kim, M, Jeong, Y. J., and Jeong, J. (2024), "Two Empirical Studies of Portfolio Optimization Using Cryptocurrency Allocation Ratios", IEEE Access, 12, 63827-63838. https://doi.org/10.1109/ACCESS.2024.3396495 (Myungwan Kim and Ye Jin Jeong contributed equally to this work.)
[11] Jeong, J. and Chang, W. (2023), "Analysis of East Asia Wind Vectors Using Space-Time Cross-Covariance Models", Remote Sensing, 15(11), 2860. https://doi.org/10.3390/rs15112860 (This article belongs to the Special Issue Spatial and Spatio-Temporal Statistics: Methods and Applications in Remote Sensing)
[10] Lee, Y., Kim, N., Jeong, J., and Kwak, I. (2023), "Experimental Case Study of Self-supervised Learning for Voice Spoofing Detection", IEEE Access, 11, 24216-24226. https://doi.org/10.1109/ACCESS.2023.3254880
[9] Jeong, J., Kim, M., and Choi, J. (2023), "Investigating the spatio-temporal variation of Hepatitis A in Korea using a Bayesian model", Frontiers in Public Health, 10, 1085077. https://doi.org/10.3389/fpubh.2022.1085077
[8] Yan, Y., Jeong, J., and Genton, M. G. (2020), "Multivariate transformed Gaussian processes", Japanese Journal of Statistics and Data Science, 3, 129-152. https://doi.org/10.1007/s42081-019-00068-6
[7] Jeong, J., Yan, Y., Castruccio, S., and Genton, M. G. (2019), "A stochastic generator of global monthly wind energy with Tukey g-and-h autoregressive processes", Statistica Sinica, 29(3), 1105-1126. https://doi.org/10.5705/ss.202017.0474
[6] Genton, M. G. and Jeong, J. (2018), Comment on "Mission CO2ntrol: A statistical scientist's role in remote sensing of atmospheric carbon dioxide," by N. Cressie, Journal of the American Statistical Association, 113(521), 176-178. https://doi.org/10.1080/01621459.2017.1419137
[5] Jeong, J., Castruccio, S., Crippa, P., and Genton, M. G. (2018), "Reducing storage of global wind ensembles with stochastic generators", Annals of Applied Statistics, 12(1), 490-509. http://dx.doi.org/10.1214/17-AOAS1105 Modeling where the wind blows
[4] Jeong, J., Jun, M., and Genton, M. G. (2017), "Spherical process models for global spatial statistics", Statistical Science, 32(4), 501- 513. http://dx.doi.org/10.1214/17-STS620
[3] Jeong, J. and Jun, M. (2015), "Covariance models on the surface of a sphere: when does it matter?", Stat, 4(1), 167-182. http://dx.doi.org/10.1002/sta4.84
[2] Jeong, J. and Jun, M. (2015), "A class of Matern-like covariance functions for smooth processes on a sphere", Spatial Statistics, 11, 1-18. http://dx.doi.org/10.1016/j.spasta.2014.11.001
[1] Song, S., Jeong, J., and Song, J. (2011), "Asymptotic option pricing under pure-jump Levy processes via nonlinear regression", Journal of Korean Statistical Society, 40(2), 227-238. http://dx.doi.org/10.1016/j.jkss.2010.10.001