Seokho Lee, Ph.D.
Affiliations: | 2009 | Texas A & M University, College Station, TX, United States |
Area:
StatisticsGoogle:
"Seokho Lee"Parents
Sign in to add mentor| Raymond J. Carroll | grad student | 2009 | Texas A & M | |
| (Principal components analysis for binary data.) | ||||
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Publications
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| Coull BA, Lee S, McGee G, et al. (2019) Corrections for measurement error due to delayed onset of illness for case-crossover designs. Biometrics |
| Lee S, Kim S. (2019) Marginalized lasso in sparse regression Journal of the Korean Statistical Society. 48: 396-411 |
| Lee S, Shin H, Lee SH. (2016) Label-noise resistant logistic regression for functional data classification with an application to Alzheimer's disease study. Biometrics |
| Shin H, Lee S. (2016) An RKHS approach to robust functional linear regression Statistica Sinica |
| Lee H, Park YM, Lee S. (2015) Principal Component Regression by Principal Component Selection Communications For Statistical Applications and Methods. 22: 173-180 |
| Lee S, Lim J, Sohn I, et al. (2015) Two sample test for high-dimensional partially paired data Journal of Applied Statistics |
| Shin H, Lee S. (2015) Canonical correlation analysis for irregularly and sparsely observed functional data Journal of Multivariate Analysis. 134: 1-18 |
| Kim K, Lee S. (2014) Logistic Regression Classification by Principal Component Selection Communications For Statistical Applications and Methods. 21: 61-68 |
| Lee S, Huang JZ. (2014) A biclustering algorithm for binary matrices based on penalized Bernoulli likelihood Statistics and Computing. 24: 429-441 |
| Lee S, Shin H, Billor N. (2013) -type smoothing spline estimators for principal functions Computational Statistics & Data Analysis. 66: 89-100 |