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Seung Jun Shin
Seung Jun Shin
Associate Professor, Department of Statistics, Korea University,
Verified email at korea.ac.kr - Homepage
Title
Cited by
Cited by
Year
Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes
SC Dentro, I Leshchiner, K Haase, M Tarabichi, J Wintersinger, ...
Cell 184 (8), 2239-2254. e39, 2021
2702021
Principal weighted support vector machines for sufficient dimension reduction in binary classification
SJ Shin, Y Wu, HH Zhang, Y Liu
Biometrika 104 (1), 67-81, 2017
422017
Probability‐enhanced sufficient dimension reduction for binary classification
SJ Shin, Y Wu, HH Zhang, Y Liu
Biometrics 70 (3), 546-555, 2014
322014
Penetrance of Different Cancer Types in Families with Li-Fraumeni Syndrome: A Validation Study Using Multicenter CohortsCancer-Specific Penetrance in LFS
SJ Shin, EB Dodd-Eaton, G Peng, J Bojadzieva, J Chen, CI Amos, ...
Cancer research 80 (2), 354-360, 2020
242020
Penalized principal logistic regression for sparse sufficient dimension reduction
SJ Shin, A Artemiou
Computational Statistics & Data Analysis 111, 48-58, 2017
192017
Bayesian estimation of a semiparametric recurrent event model with applications to the penetrance estimation of multiple primary cancers in Li-Fraumeni Syndrome
J Li, SJ Shin, J Ning, J Bojadzieva, LC Strong, W Wang
arXiv preprint arXiv:1804.06883, 2018
16*2018
Principal quantile regression for sufficient dimension reduction with heteroscedasticity
C Wang, SJ Shin, Y Wu
Electronic Journal of Statistics 12 (2), 2114-2140, 2018
142018
Real-time sufficient dimension reduction through principal least squares support vector machines
A Artemiou, Y Dong, SJ Shin
Pattern Recognition 112, 107768, 2021
132021
Two-dimensional solution surface for weighted support vector machines
SJ Shin, Y Wu, HH Zhang
Journal of Computational and Graphical Statistics 23 (2), 383-402, 2014
122014
Penetrance Estimates Over Time to First and Second Primary Cancer Diagnosis in Families with Li-Fraumeni Syndrome: A Single Institution PerspectiveMultiple Primary Cancer …
SJ Shin, EB Dodd-Eaton, F Gao, J Bojadzieva, J Chen, X Kong, CI Amos, ...
Cancer research 80 (2), 347-353, 2020
102020
Principal weighted logistic regression for sufficient dimension reduction in binary classification
B Kim, SJ Shin
Journal of the Korean Statistical Society 48 (2), 194-206, 2019
102019
Bayesian Semiparametric Estimation of Cancer-specific Age-at-onset Penetrance with Application to Li-Fraumeni Syndrome
SJ Shin, Y Yuan, LC Strong, J Bojadzieva, W Wang
Journal of the American Statistical Association, 1-32, 2018
102018
Association between in vitro fertilization success rate and ambient air pollution: a possible explanation of within-year variation of in vitro fertilization success rate
J Kang, JY Lee, H Song, SJ Shin, J Kim
Obstetrics & Gynecology Science 63 (1), 72-79, 2020
72020
A nonparametric survival function estimator via censored kernel quantile regressions
SJ Shin, HH Zhang, Y Wu
Statistica Sinica, 457-478, 2017
72017
Quantile-slicing estimation for dimension reduction in regression
H Kim, Y Wu, SJ Shin
Journal of Statistical Planning and Inference 198, 1-12, 2019
52019
Stability approach to selecting the number of principal components
J Song, SJ Shin
Computational Statistics 33 (4), 1923-1938, 2018
52018
A comparative study of the dose-response analysis with application to the target dose estimation
SJ Shin, SK Ghosh
Journal of Statistical Theory and Practice 11, 145-162, 2017
52017
A comparison study of multiple linear quantile regression using non-crossing constraints
S Bang, SJ Shin
Korean Journal of Applied Statistics 29 (5), 773-786, 2016
42016
Variable selection in large margin classifier‐based probability estimation with high‐dimensional predictors
SJ Shin, Y Wu
Biometrical Journal 56 (4), 594-596, 2014
42014
ADMM for least square problems with pairwise-difference penalties for coefficient grouping
S Parka, SJ Shin
Communications for Statistical Applications and Methods 29 (4), 441-451, 2022
32022
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Articles 1–20