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Mikyoung Jun
Mikyoung Jun
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Cited by
Cited by
Year
Spatial analysis to quantify numerical model bias and dependence: how many climate models are there?
M Jun, R Knutti, DW Nychka
Journal of the American Statistical Association 103 (483), 934-947, 2008
2272008
Nonstationary covariance models for global data
M Jun, ML Stein
The Annals of Applied Statistics 2 (4), 1271-1289, 2008
1642008
An approach to producing space–time covariance functions on spheres
M Jun, ML Stein
Technometrics 49 (4), 468-479, 2007
1362007
Generic Escherichia coli contamination of spinach at the preharvest stage: effects of farm management and environmental factors
S Park, S Navratil, A Gregory, A Bauer, I Srinath, M Jun, B Szonyi, ...
Applied and environmental microbiology 79 (14), 4347-4358, 2013
922013
Covariance approximation for large multivariate spatial data sets with an application to multiple climate model errors
H Sang, M Jun, JZ Huang
The Annals of Applied Statistics, 2519-2548, 2011
702011
Local eigenvalue analysis of CMIP3 climate model errors
M Jun, R Knutti, DW Nychka
Tellus A: Dynamic Meteorology and Oceanography 60 (5), 992-1000, 2008
602008
Spatio-temporal asymmetry of local wind fields and its impact on short-term wind forecasting
AA Ezzat, M Jun, Y Ding
IEEE transactions on sustainable energy 9 (3), 1437-1447, 2018
572018
Statistical comparison of observed and CMAQ modeled daily sulfate levels
M Jun, ML Stein
Atmospheric Environment 38 (27), 4427-4436, 2004
572004
Non‐stationary cross‐covariance models for multivariate processes on a globe
M Jun
Scandinavian Journal of Statistics 38 (4), 726-747, 2011
522011
A class of MatÚrn-like covariance functions for smooth processes on a sphere
J Jeong, M Jun
Spatial Statistics 11, 1-18, 2015
422015
Spherical process models for global spatial statistics
J Jeong, M Jun, MG Genton
Statistical science: a review journal of the Institute of Mathematicalá…, 2017
412017
Multifactorial effects of ambient temperature, precipitation, farm management, and environmental factors determine the level of generic Escherichia coli contamination oná…
S Park, S Navratil, A Gregory, A Bauer, I Srinath, B Szonyi, K Nightingale, ...
Applied and environmental microbiology 81 (7), 2635-2650, 2015
362015
Spatio-temporal short-term wind forecast: A calibrated regime-switching method
AA Ezzat, M Jun, Y Ding
The annals of applied statistics 13 (3), 1484, 2019
342019
Farm management, environment, and weather factors jointly affect the probability of spinach contamination by generic Escherichia coli at the preharvest stage
S Park, S Navratil, A Gregory, A Bauer, I Srinath, B Szonyi, K Nightingale, ...
Applied and environmental microbiology 80 (8), 2504-2515, 2014
332014
A test for stationarity of spatio-temporal random fields on planar and spherical domains
M Jun, MG Genton
Statistica Sinica, 1737-1764, 2012
312012
MatÚrn-based nonstationary cross-covariance models for global processes
M Jun
Journal of Multivariate Analysis 128, 134-146, 2014
292014
Observation quality control with a robust ensemble Kalman filter
S Roh, MG Genton, M Jun, I Szunyogh, I Hoteit
Monthly Weather Review 141 (12), 4414-4428, 2013
222013
A statistical investigation of the sensitivity of ensemble-based Kalman filters to covariance filtering
M Jun, I Szunyogh, MG Genton, F Zhang, CH Bishop
Monthly Weather Review 139 (9), 3036-3051, 2011
192011
Temporal and spatial analysis of per and polyfluoroalkyl substances in surface waters of Houston ship channel following a large-scale industrial fire incident
NA Aly, YS Luo, Y Liu, G Casillas, TJ McDonald, JM Kaihatu, M Jun, ...
Environmental Pollution 265, 115009, 2020
182020
Baseline data for distribution of contaminants by natural disasters: results from a residential Houston neighborhood during Hurricane Harvey flooding
G Bera, K Camargo, JL Sericano, Y Liu, ST Sweet, J Horney, M Jun, ...
Heliyon 5 (11), e02860, 2019
172019
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