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I am an Assistant Professor in the Department of Mathematics and Department of Applied Statistics at the Hanyang University in Seoul, South Korea. Before coming back to Seoul, I was an Assistant Professor of Statistics in the Department of Mathematics and Statistics at the University of Maine (UMaine) and a Postdoctoral Fellow at the Spatio-Temporal Statistics & Data Science group, led by Prof. Marc G. Genton, at the King Abdullah University of Science and Technology (KAUST). I completed my Ph.D. in Statistics in the Department of Statistics at the Texas A&M University (TAMU) under the guidance of Prof. Mikyoung Jun.

For more details, please contact me at jaehong dot jeong at hanyang dot ac dot kr.

Research Interests

• Global spatial and spatio-temporal statistics on the surface of a sphere

• Applications to climate model simulations and satellite remote-sensing data

• Computational statistics for massive datasets

• Non-Gaussian processes for space-time data

• Climate change impacts on hydroclimatic events

Publications

[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 arXiv

[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", The Annals of Applied Statistics, 12(1), 490-509. http://dx.doi.org/10.1214/17-AOAS1105 Modeling where the wind blows Global Surface Wind (Iphone app)

[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

Teaching

• HYU

MAT3023: Mathematical Statistics II (Fall 2020)

MAT8020: Mathematical Statistics II (Fall 2020)

• UMaine

MAT 400: Topics in Mathematics, Spatial Statistics (Fall 2019)

STS 332: Statistics for Engineers (Fall 2018; Spring 2019, 2 sessions; Fall 2019; Spring 2020, 2 sessions)

• Sole Instructor at TAMU

STAT 201: Elementary Statistical Inference (Spring 2014)

STAT 302: Statistical Methods (Summer 2014, 2 sessions)

STAT 211: Principles of Statistics I (Fall 2014)

Awards

2019: KISS Career Development Award, KISS

2015: Emanuel Parzen Graduate Research Fellowship Award, TAMU

2012: IAMCS-KAUST Graduate Fellowship, TAMU & KAUST

Education

2015: Ph.D. in Statistics, Texas A&M University, USA

2010: M.S. in Statistics, Korea University, Korea

2008: B.S. in Statistics, University of Seoul, Korea