오희석
Oh, Hee-Seok서울대학교 통계학과
연구 분야
이 전문가에게 자문을 요청하시겠습니까?
R&D 자문, 산학협력, 공동연구 등 목적에 맞게 연결해 드립니다
학력
Texas A&M University, College Station, U.S.A. (Statistics
박사
dissertation title: Spherical Wavelets and Their Statistical Analysis with Applications to Meteorological
박사
경력
Independent component regression for seasonal climate prediction: an efficient way to improve multimodel ensembles, with Yaeji Lim, Jaeyong Lee, Hyun-Suk Kang, Theoretical and Applied Climatology, 119, 433-441. ()
Genomic selection for adjacent genetic markers of Yorkshire pigs using regularized regression approaches, with M.S. Park, T.-H. Kim, E.-S. Cho, H. Kim, Asian-Australasian Journal of Animal Sciences, 27(12), 1678-1683. ()
A comparative study of regularized regression approaches using R: Application to SNP and litter size of Yorkshire pigs, with M.S. Park, T.-H. Kim, E.-S. Cho, H. Kim, Journal of Agriculture and Life Science, 48(3), 147-155. ()
Variable selection in quantile regression when the models have autoregressive errors, with Y. Lim, Journal of the Korean Statistical Society, 43(4), 513-530. ()
Robust principal component analysis via ES-algorithm, with Y. Lim and Y. Park, Journal of the Korean Statistical Society, 43, 149-159. ()
Multimodel ensemble forecasting of rainfall over East Asia: regularized regression approach, with Yaeji Lim, Seongil Jo, Jaeyong Lee, Sang-Goo Lee, Yongtae Park, Hyun-Suk Kang, International Journal of Climatology, 34(14), 3720-3731. ()
A new sparse variable selection via random-effect model, with Youngjo Lee, Journal of Multivariate Analysis, 125, 89-99, ()
The role of functional data analysis for instantaneous frequency estimation, with M. Park and S. Cho, Computational Statistics, 28(5), . ()
연구 실적
A Study on Advanced Machine Learning Methods for Natural Language Processing...
Nature, 2024
Deep Reinforcement Learning Approaches to Complex Decision Making in...
Science, 2023
Novel Framework for Multi-modal Data Integration and Analysis...
IEEE TPAMI, 2023
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