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Mikyoung Jun

Showing results (1-10 of 18) with videos related to

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Chance (New York, N.Y.)|April 13, 2019
Climate model intercomparisonMikyoung Jun
Spatial Statistics|December 31, 2019
Global multivariate point pattern models for rain type occurrenceMikyoung Jun, Courtney Schumacher, R Saravanan
IEEE Transactions on Sustainable Energy|November 9, 2018
Spatio-temporal asymmetry of local wind fields and its impact on short-term wind forecastingAhmed Aziz Ezzat, Mikyoung Jun, Yu Ding
Statistical Science : a Review Journal of the Institute of Mathematical Statistics|April 16, 2019
Spherical Process Models for Global Spatial StatisticsJaehong Jeong, Mikyoung Jun, Marc G Genton
The Annals of Applied Statistics|August 15, 2020
SPATIO-TEMPORAL SHORT-TERM WIND FORECAST: A CALIBRATED REGIME-SWITCHING METHODAhmed Aziz Ezzat, Mikyoung Jun, Yu Ding
Journal of Climate|August 11, 2020
Predictive Statistical Representations of Observed and Simulated Rainfall Using Generalized Linear ModelsJunho Yang, Mikyoung Jun, Courtney Schumacher, et al.
The Journal of School Health|January 28, 2024
Adverse Childhood Experience-Related Conditions and Substance Use in Adolescents: A Secondary Analysis of Cross-Sectional Survey DataWasantha Jayawardene, David Lohrmann, Jon Agley, et al.
Journal of Medical Internet Research|September 14, 2019
Social Media Outrage in Response to a School-Based Substance Use Survey: Qualitative AnalysisRuth Ann Gassman, Tapati Dutta, Jon Agley, et al.
Substance Use & Misuse|November 19, 2015
Statewide Administration of the CRAFFT Screening Tool: Highlighting the Spectrum of Substance UseJon Agley, Ruth A Gassman, Mikyoung Jun, et al.
Environmental Research Communications|July 11, 2022
Statistical and Machine Learning Methods Applied to the Prediction of Different Tropical Rainfall TypesJiayi Wang, Raymond K W Wong, Mikyoung Jun, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Chance (New York, N.Y.)|April 13, 2019
Climate model intercomparisonMikyoung Jun
Spatial Statistics|December 31, 2019
Global multivariate point pattern models for rain type occurrenceMikyoung Jun, Courtney Schumacher, R Saravanan
IEEE Transactions on Sustainable Energy|November 9, 2018
Spatio-temporal asymmetry of local wind fields and its impact on short-term wind forecastingAhmed Aziz Ezzat, Mikyoung Jun, Yu Ding
Statistical Science : a Review Journal of the Institute of Mathematical Statistics|April 16, 2019
Spherical Process Models for Global Spatial StatisticsJaehong Jeong, Mikyoung Jun, Marc G Genton
The Annals of Applied Statistics|August 15, 2020
SPATIO-TEMPORAL SHORT-TERM WIND FORECAST: A CALIBRATED REGIME-SWITCHING METHODAhmed Aziz Ezzat, Mikyoung Jun, Yu Ding
Journal of Climate|August 11, 2020
Predictive Statistical Representations of Observed and Simulated Rainfall Using Generalized Linear ModelsJunho Yang, Mikyoung Jun, Courtney Schumacher, et al.
The Journal of School Health|January 28, 2024
Adverse Childhood Experience-Related Conditions and Substance Use in Adolescents: A Secondary Analysis of Cross-Sectional Survey DataWasantha Jayawardene, David Lohrmann, Jon Agley, et al.
Journal of Medical Internet Research|September 14, 2019
Social Media Outrage in Response to a School-Based Substance Use Survey: Qualitative AnalysisRuth Ann Gassman, Tapati Dutta, Jon Agley, et al.
Substance Use & Misuse|November 19, 2015
Statewide Administration of the CRAFFT Screening Tool: Highlighting the Spectrum of Substance UseJon Agley, Ruth A Gassman, Mikyoung Jun, et al.
Environmental Research Communications|July 11, 2022
Statistical and Machine Learning Methods Applied to the Prediction of Different Tropical Rainfall TypesJiayi Wang, Raymond K W Wong, Mikyoung Jun, et al.
Pageof 2