Mikyoung Jun
Mikyoung Jun
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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
Nonstationary covariance models for global data
M Jun, ML Stein
The Annals of Applied Statistics 2 (4), 1271-1289, 2008
An approach to producing space–time covariance functions on spheres
M Jun, ML Stein
Technometrics 49 (4), 468-479, 2007
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
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
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
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
Statistical comparison of observed and CMAQ modeled daily sulfate levels
M Jun, ML Stein
Atmospheric Environment 38 (27), 4427-4436, 2004
Non‐stationary cross‐covariance models for multivariate processes on a globe
M Jun
Scandinavian Journal of Statistics 38 (4), 726-747, 2011
A class of MatÚrn-like covariance functions for smooth processes on a sphere
J Jeong, M Jun
Spatial Statistics 11, 1-18, 2015
Spherical process models for global spatial statistics
J Jeong, M Jun, MG Genton
Statistical science: a review journal of the Institute of Mathematicalá…, 2017
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
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
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
A test for stationarity of spatio-temporal random fields on planar and spherical domains
M Jun, MG Genton
Statistica Sinica, 1737-1764, 2012
MatÚrn-based nonstationary cross-covariance models for global processes
M Jun
Journal of Multivariate Analysis 128, 134-146, 2014
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
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
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
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
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