National Cheng Kung University

Faculty
  1. Home
  2. Faculty
  3. Full-time teachers
  4. Kuo-Jung Lee
Full-time teachers
Name Kuo-Jung Lee
Job title Professor
Expertise Bayesian Modeling, Monte Carlo Algorithms, Functional　MRI　Analysis
E-mail kuojunglee@ncku.edu.tw
Office Room 62427, 4th Floor, Department of Statistics
Tel (06)2757575~53627
Web site https://sites.google.com/view/kuojunglee
Main Experiences

  • Associate Professor, Department of Statistics and Institute of Data Science, National Cheng Kung University.(2017 – present)

  • Assistant Professor, Department of Statistics, National Cheng Kung University.(2012 – 2017)

Education
  • h.D. in Statistics, University of Minnesota-Twin Cities, 2004-2010

  • M.S. in Statistics, National Chiao Tung University, 1999-2001

  • B.B.A. in Statistics, National Chung Hsing University, 1995-2000

Research Field
  • fMRI Data Analysis
  • Monte Carlo Algorithms
  • Diffusion Tensor Imaging (DTI) Analysis
  • Bayesian Modeling
Journals
  1. 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.
  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

Back