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| 1 |
A divide-oversampling and conquer algorithm based support vector machine for massive and highly imbalanced data
Bang, Sungwan;Kim, Jaeoh;
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The Korean Statistical Society
, v.35, no.2, pp.177-188,
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| 2 |
Factor augmentation for cryptocurrency return forecasting
Yeom, Yebin;Han, Yoojin;Lee, Jaehyun;Park, Seryeong;Lee, Jungwoo;Baek, Changryong;
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The Korean Statistical Society
, v.35, no.2, pp.189-201,
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| 3 |
Comparison of control charts for individual observations
Lee, Sungim;
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The Korean Statistical Society
, v.35, no.2, pp.203-215,
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| 4 |
Model selection via Bayesian information criterion for divide-and-conquer penalized quantile regression
Kang, Jongkyeong;Han, Seokwon;Bang, Sungwan;
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The Korean Statistical Society
, v.35, no.2, pp.217-227,
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| 5 |
Linear programming models using a Dantzig type risk for portfolio optimization
Ahn, Dayoung;Park, Seyoung;
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The Korean Statistical Society
, v.35, no.2, pp.229-250,
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| 6 |
Maximum tolerated dose estimations using various stopping rules in phase I clinical trial
Jeon, Soyoung;Kim, Dongjae;
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The Korean Statistical Society
, v.35, no.2, pp.251-263,
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| 7 |
Pairwise fusion approach to cluster analysis with applications to movie data
Kim, Hui Jin;Park, Seyoung;
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The Korean Statistical Society
, v.35, no.2, pp.265-283,
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| 8 |
A comparison study of Bayesian variable selection methods for sparse covariance matrices
Kim, Bongsu;Lee, Kyoungjae;
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The Korean Statistical Society
, v.35, no.2, pp.285-298,
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| 9 |
Social network monitoring procedure based on partitioned networks
Hong, Hwiju;Lee, Joo Weon;Lee, Jaeheon;
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The Korean Statistical Society
, v.35, no.2, pp.299-310,
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| 10 |
A Bayesian zero-inflated negative binomial regression model based on Pólya-Gamma latent variables with an application to pharmaceutical data
Seo, Gi Tae;Hwang, Beom Seuk;
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The Korean Statistical Society
, v.35, no.2, pp.311-325,
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| 11 |
A review on robust principal component analysis
Lee, Eunju;Park, Mingyu;Kim, Choongrak;
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The Korean Statistical Society
, v.35, no.2, pp.327-333,
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