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전체 가 나 다 라 마 바 사 아 자 차 카 타 파 하

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Showing results 27 to 46 of 111

Issue Date	Title / Author(s) / Citation	File
2020-07	Pseudo-quantile functional data clustering Kim, Joonpyo; Oh, Hee-Seok Journal of Multivariate Analysis, Vol.178, p. 104626	DOI
2020-04	PITCHf/x를 이용한 투구의 질 평가 박성민; 장원철 응용통계연구, Vol.33 No.2, pp.171-184	DOI
2018-05	Pathway-based approach using hierarchical components of rare variants to analyze multiple phenotypes Lee, Sungyoung; Kim, Yongkang; Choi, Sungkyoung; Hwang, Heungsun; Park, Taesung BMC Bioinformatics, 19(Suppl 4):79	view file DOI
2019-07	Pathway analysis of rare variants for the clustered phenotypes by using hierarchical structured components analysis Lee, Sungyoung; Kim, Sunmee; Kim, Yongkang; Oh, Bermseok; Hwang, Heungsun; Park, Taesung BMC Medical Genomics. 12(Suppl 5):100	view file DOI
2022-01	One-class classification-based monitoring for the mean and variance of time series Lee, Sangyeol; Lee, Sangjo; Kim, Chang Kyeom Quality and Reliability Engineering International	DOI
2022-01	On continuity correction for RSS-structured cluster randomized designs with binary outcomes Ahn, Soohyun; Wang, Xinlei; Wang, Mumu; Lim, Johan Metron	DOI
2018-01	Nonparametric sharpe ratio function estimation in heteroscedastic regression models via convex optimization Kim, Seung-Jean; Lim, Johan; Won, Joong-Ho International Conference on Artificial Intelligence and Statistics, AISTATS 2018, Vol.84, pp.1495-1504
2022-01	Nonalcoholic fatty liver disease and early prediction of gestational diabetes mellitus using machine learning methods Lee, Seung Mi; Hwangbo, Suhyun; Norwitz, Errol R.; Koo, Ja Nam; Oh, Ig Hwan; Choi, Eun Saem; Jung, Young Mi; Kim, Sun Min; Kim, Byoung Jae; Kim, Sang Youn; Kim, Gyoung Min; Kim, Won; Joo, Sae Kyung; Shin, Sue; Park, Chan-Wook; Park, Taesung; Park, Joong Shin Clinical and Molecular Hepatology, Vol.28 No.1, pp.105-116	DOI
2019-07	Multiscale Clustering for Functional Data Lim, Yaeji; Oh, Hee-Seok; Cheung, Ying Kuen Journal of Classification, Vol.36 No.2, pp.368-391	DOI
2022-08	MiCloud: A unified web platform for comprehensive microbiome data analysis Gu, Won; Moon, Jeongsup; Chisina, Crispen; Kang, Byungkon; Park, Taesung; Koh, Hyunwook PLoS ONE, Vol.17 No.8 August, p. 0272354	DOI
2022-04	Metabolic and Cardiovascular Benefits of Apple and Apple-Derived Products: A Systematic Review and Meta-Analysis of Randomized Controlled Trials Kim, Sun Jo; Anh, Nguyen Hoang; Jung, Cheol Woon; Long, Nguyen Phuoc; Park, Seongoh; Cho, Young Hyun; Yoon, Young Cheol; Lee, Eun Goo; Kim, Mina; Son, Eui Young; Kim, Tae Ha; Deng, Yingqian; Lim, Johan; Kwon, Sung Won Frontiers in Nutrition, Vol.9, p. 766155	DOI
2019-07	Meta-Qtest: meta-analysis of quadratic test for rare variants Ka, Jieun; Lee, Jaehoon; Kim, Yongkang; Oh, Bermseok; Park, Taesung BMC Medical Genomics. 12(Suppl 5):102	view file DOI
	Maximum composite likelihood estimation for spatial extremes models of Brown-Resnick type with application to precipitation data Kim, Moosup; Lee, Sangyeol Scandinavian Journal of Statistics	DOI
2023-07	Masked Bayesian Neural Networks: Theoretical Guarantee and its Posterior Inference Kong, Insung; Yang, Dongyoon; Lee, Jongjin; Ohn, Ilsang; Baek, Gyuseung; Kim, Yongdai Proceedings of Machine Learning Research, Vol.202, pp.17462-17491
2017-07	Long-term response to mood stabilizer treatment and its clinical correlates in patients with bipolar disorders: a retrospective observational study Ahn, Sung Woo; Baek, Ji Hyun; Yang, So-Yung; Kim, Yongkang; Cho, Youngah; Choi, Yujin; Lee, Kounseok; Park, Taesung; Hong, Kyung Sue International Journal of Bipolar Disorders, 5(1):24	view file link
2022-08	Locally polynomial Hilbertian additive regression Jeon, Jeong min; Lee, Young kyung; Mammen, Enno; Park, Byeong U. Bernoulli, Vol.28 No.3, pp.2034-2066	DOI
2020-08	Lipschitz Continuous Autoencoders in Application to Anomaly Detection Kim, Young-Geun; Kwon, Yongchan; Chang, Hyunwoong; Paik, Myunghee Cho INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 108, Vol.108, pp.2507-2516	view file
2022-03	Lifting scheme for streamflow data in river networks Park, Seoncheol; Oh, Hee-Seok Journal of the Royal Statistical Society. Series C: Applied Statistics, Vol.71 No.2, pp.467-490	DOI
2021-02	Learning high-dimensional Gaussian linear structural equation models with heterogeneous error variances Park, Gunwoong; Kim, Yesool Computational Statistics and Data Analysis, Vol.154, p. 107084	DOI
2022-03	Learning fair prediction models with an imputed sensitive variable: Empirical studies Kim, Yongdai; Jeong, Hwichang Communications for Statistical Applications and Methods, Vol.29 No.2, pp.251-261	DOI

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