Kuo-Jung Lee

Associate Professor

Institute of Data Science

Phone886 6 275757 ext 53627
Emailkuojunglee@mail.ncku.edu.tw
Websitehttp://myweb.ncku.edu.tw/~kuojunglee/

Source: Scopus
Calculated based on no. of publications stored in Pure and citations from Scopus

Research activity per year

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Personal profile

Education

2010 PhD, Statistics, University of Minnesota-Twin Cities

Research Interests

Bayesian modeling
Functional MRI analysis
Monte Carlo algorithms

Experience

1995~2000 B.B.A., Statistics, National Chung Hsing University
1999~2001 M.S., Statistics, National Chiao Tung University
2004~2010 PhD, Statistics, University of Minnesota-Twin Cities

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5 Finished

貝氏時空變異係數模型應用於台灣缺血性中風死亡率之分析
Lee, K.
19-08-01 → 20-07-31
Project: Research project
貝氏變數選擇方法應用於混合線性混合效應模型
Lee, K.
17-08-01 → 18-07-31
Project: Research project
應用稀疏貝氏變數選擇方法於分類問題當變數的個數大於樣本數
Lee, K.
15-08-01 → 16-07-31
Project: Research project
快速及完全貝氏階層時空模型應用於功能性核磁共振影像之分析
Lee, K.
14-10-01 → 15-09-30
Project: Research project
空間貝氏變量選擇模型應用於功能性核磁共振成像時間序列數據之分析
Lee, K.
12-11-01 → 13-07-31
Project: Research project

62 Citations
4 h-Index
13 Article
2 Conference contribution

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 Feb 20, In: Statistics in Medicine. 40, 4, p. 978-997 20 p.
Research output: Contribution to journal › Article › peer-review
Variable selection in finite mixture of regression models with an unknown number of components
Lee, K. J., Feldkircher, M. & Chen, Y. C., 2021 Jun, In: Computational Statistics and Data Analysis. 158, 107180.
Research output: Contribution to journal › Article › peer-review
Bayesian variable selection in a finite mixture of linear mixed-effects models
Lee, K. J. & Chen, R. B., 2019 Sep 2, In: Journal of Statistical Computation and Simulation. 89, 13, p. 2434-2453 20 p.
Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus)
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 Dec 1, In: Brain and Behavior. 9, 12, e01483.
Research output: Contribution to journal › Article › peer-review

Open Access
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 Sep 15, In: Science of the Total Environment. 636, p. 1139-1148 10 p.
Research output: Contribution to journal › Article › peer-review
6 Citations (Scopus)