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
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
-
SDG 1 No Poverty -
SDG 3 Good Health and Well-being -
SDG 8 Decent Work and Economic Growth -
SDG 10 Reduced Inequalities -
SDG 11 Sustainable Cities and Communities
Fingerprint
Dive into the research topics where Kuo-Jung Lee is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 7 Finished
-
Bayesian selection approach for categorical responses via multinomial probit models
Chu, C. H., Lee, K. J., Hsu, C. C. & Chen, R.-B., 2025 Dec, In: Computational Statistics and Data Analysis. 212, 108233.Research output: Contribution to journal › Article › peer-review
-
Robust Bayesian cumulative probit linear mixed models for longitudinal ordinal data
Lee, K. J., Chen, R. B. & Lee, K., 2025 Jan, In: Computational Statistics. 40, 1, p. 441-468 28 p.Research output: Contribution to journal › Article › peer-review
2 Link opens in a new tab Citations (Scopus) -
Multivariate probit linear mixed models for multivariate longitudinal binary data
Lee, K. J., Kim, C., Yoo, J. K. & Lee, K., 2024 Apr 15, In: Statistics in Medicine. 43, 8, p. 1527-1548 22 p.Research output: Contribution to journal › Article › peer-review
2 Link opens in a new tab Citations (Scopus) -
DDNAS: Discretized Differentiable Neural Architecture Search for Text Classification
Chen, K. C., Li, C. T. & Lee, K. J., 2023 Oct 3, In: ACM Transactions on Intelligent Systems and Technology. 14, 5, 88.Research output: Contribution to journal › Article › peer-review
Open Access3 Link opens in a new tab Citations (Scopus) -
Use of spatial panel-data models to investigate factors related to incidence of end-stage renal disease: a nationwide longitudinal study in Taiwan
Su, C. C., Lee, K. J., Yen, C. T., Wu, L. H., Huang, C. H., Lu, M. Z. & Cheng, C. L., 2023 Dec, In: BMC Public Health. 23, 1, 247.Research output: Contribution to journal › Article › peer-review
Open Access3 Link opens in a new tab Citations (Scopus)