| 姓名 | 李國榮 |
|---|---|
| 職稱 | 教授、研發處校資組組長 |
| 專長領域 | 貝氏分析、蒙地卡羅演算法、時空統計模型、功能性核磁共振影像及擴散張量影像資料分析 |
| kuojunglee@ncku.edu.tw | |
| 辦公室 | 管理學院統計系館4樓62427室 |
| 聯絡電話 | (06)2757575~53627 |
| 個人網頁 | https://sites.google.com/view/kuojunglee |
- 成功大學統計系教授(2023.08-present)
- 成功大學校務資料組組長(2023.02-present)
- 成功大學統計系副教授(2017.08-2023.07)
- 成功大學統計系助理教授(2012.08-2017.07)
- 美國明尼蘇達大學統計學博士
- 交通大學統計學碩士
- 中興大學統計學學士
- 貝氏分析
- 蒙地卡羅演算法
- 功能性核磁共振影像及擴散張量影像資料分析
- Multivariate Probit Linear Mixed Models for Multivariate Longitudinal Binary Data. Kuo-Jung Lee, Chanmin Kim, Jae Keun Yoo, and Keunbaik Lee. Statistics in Medicine, Accepted. Jan, 2024.
- DDNAS: Discretized Differentiable Neural Architecture Search for Text Classification. Transactions on Intelligent Systems and Technology. Kuan-Chun Chen, Cheng-Te Li, Kuo-Jung Lee (2023, Jun). ACM Transactions on Intelligent Systems and Technology, 15, 5, pp. 1–22, 2023
- Use of spatial panel-data models to investigate factors related to incidence of end-stage renal disease: A nationwide longitudinal study in Taiwan. Chien-Chou Su, Kuo-Jung Lee, Chi-Tai Yen, Lu-Hsuan Wu, Chien-Huei Huang, Meng-Zhan Lu & Ching-Lan Cheng. BMC Public Health 23, 247 (2023). https://doi.org/10.1186/s12889-023-15189-7
- Robust probit linear mixed models for longitudinal binary data. Kuo-Jung Lee, Chanmin Kim, Ray-Bing Chen, Keunbaik Lee. Biometrical Journal, 1307-1324, 2022
- Determination of correlations in multivariate longitudinal data with modified Cholesky and hypersphere decomposition using Bayesian variable selection approach
Lee, K. J., Chen, R. B., Kwak, M. S. & Lee, K., 2021 二月 20, 於: Statistics in Medicine. 40, 4, p. 978-997 20 p. - Variable selection in finite mixture of regression models with an unknown number of components
Lee, K. J., Feldkircher, M. & Chen, Y. C., 2021 六月, 於: Computational Statistics and Data Analysis. 158, 107180. -
Bayesian variable selection in a finite mixture of linear mixed-effects models
Lee, K-J. & Chen, R-B., 2019 九月 2, 於 : Journal of Statistical Computation and Simulation. 89, 13, p. 2434-2453 20 p. -
Cerebral control of winking before and after learning: An event-related fMRI study
Lin, C. C. K., Lee, K. J., Huang, C. H. & Sun, Y. N., 2019 十二月 1, 於 : Brain and Behavior. 9, 12, e01483. -
An instantaneous spatiotemporal model for predicting traffic-related ultrafine particle concentration through mobile noise measurements
Lin, M. Y., Guo, Y. X., Chen, Y. C., Chen, W. T., Young, L. H., Lee, K. J., Wu, Z. Y. & Tsai, P. J., 2018 九月 15, 於 : Science of the Total Environment. 636, p. 1139-1148 10 p. -
Of Needles and Haystacks: Revisiting Growth Determinants by Robust Bayesian Variable Selection
Lee, K. J. & Chen, Y. C., 2018 六月 1, 於 : Empirical Economics. 54, 4, p. 1517-1547 31 p. -
Milr: Multiple-instance logistic regression with lasso penalty
Chen, P. Y., Chen, C. C., Yang, C. H., Chang, S-M. & Lee, K-J., 2017 六月 1, 於 : R Journal. 9, 1, p. 446-457 12 p. -
On the Determinants of the 2008 Financial Crisis: A Bayesian Approach to the Selection of Groups and Variables
Chen, R. B., Chen, Y. C., Chu, C. H. & Lee, K. J., 2017 十二月 20, 於 : Studies in Nonlinear Dynamics and Econometrics. 21, 5, 20160107. -
Spatial Bayesian hierarchical model with variable selection to fMRI data
Lee, K. J., Hsieh, S. & Wen, T., 2017 八月, 於 : Spatial Statistics. 21, p. 96-113 18 p. -
Bayesian variable selection for finite mixture model of linear regressions
Lee, K. J., Chen, R. B. & Wu, Y. N., 2016 三月 1, 於 : Computational Statistics and Data Analysis. 95, p. 1-16 16 p. -
BSGS: Bayesian sparse group selection
Lee, K-J. & Chen, R-B., 2015 一月 1, 於 : R Journal. 7, 2, p. 122-133 12 p. -
Spatial Bayesian variable selection models on functional magnetic resonance imaging time-series data
Lee, K. J., Jones, G. L., Caffo, B. S. & Bassett, S. S., 2014 一月 1, 於 : Bayesian Analysis. 9, 3, p. 699-732 34 p. -
Bayesian analysis of Box-Cox transformed linear mixed models with ARMA(p, q) dependence
Lee, J. C., Lin, T. I., Lee, K. J. & Hsu, Y. L., 2005 八月 1, 於 : Journal of Statistical Planning and Inference. 133, 2, p. 435-451 17 p.