Hyejin Shin, Ph.D.
Affiliations: | 2006 | Texas A & M University, College Station, TX, United States |
Area:
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"Hyejin Shin"Parents
Sign in to add mentor| Randall L. Eubank | grad student | 2006 | Texas A & M | |
| (Infinite dimensional discrimination and classification.) | ||||
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Publications
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| Yang SJ, Shin H, Lee SH, et al. (2020) Functional linear regression model with randomly censored data: Predicting conversion time to Alzheimer ’s disease Computational Statistics & Data Analysis. 150: 107009 |
| 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 |
| Kong DS, Kim MJ, Song HJ, et al. (2016) Fine tuning of emission property of white light-emitting diodes by quantum-dot-coating on YAG:Ce nanophosphors Applied Surface Science. 379: 467-473 |
| Shin H, Lee S. (2015) Canonical correlation analysis for irregularly and sparsely observed functional data Journal of Multivariate Analysis. 134: 1-18 |
| Han K, Shin H. (2015) Functional linear regression for functional response via sparse basis selection Journal of the Korean Statistical Society. 44: 376-389 |
| Lee S, Shin H, Billor N. (2013) -type smoothing spline estimators for principal functions Computational Statistics & Data Analysis. 66: 89-100 |
| Shin H, Hsing T. (2012) Linear prediction in functional data analysis Stochastic Processes and Their Applications. 122: 3680-3700 |
| Shin H, Lee MH. (2012) On prediction rate in partial functional linear regression Journal of Multivariate Analysis. 103: 93-106 |
| Shin H, Eubank RL. (2011) Unit canonical correlations and high-dimensional discriminant analysis Journal of Statistical Computation and Simulation. 81: 167-178 |