Projects per year
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
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.
- 4 Similar Profiles
Bayesian Variable Selection
Mathematics
Variable Selection
Mathematics
Bayesian Approach
Mathematics
Functional Magnetic Resonance Imaging
Mathematics
Determinant
Mathematics
Markov processes
Engineering & Materials Science
Linear Mixed Effects Model
Mathematics
Bayesian Hierarchical Model
Mathematics
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2005 2019
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
Bayesian Variable Selection
Linear Mixed Effects Model
Finite Mixture
Monte Carlo Sampling
Social sciences
2
Citations
(Scopus)
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-C., 2018 Sep 15, In : Science of the Total Environment. 636, p. 1139-1148 10 p.Research output: Contribution to journal › Article
cardiovascular disease
temporal variation
spatial variation
Health
Acoustic waves
Of Needles and Haystacks: Revisiting Growth Determinants by Robust Bayesian Variable Selection
Lee, K-J. & Chen, Y-C., 2018 Jun 1, In : Empirical Economics. 54, 4, p. 1517-1547 31 p.Research output: Contribution to journal › Article
Bayesian Variable Selection
Determinant
determinants
Variable Selection
Covariates
Milr: Multiple-instance logistic regression with lasso penalty
Chen, P. Y., Chen, C. C., Yang, C. H., Chang, S-M. & Lee, K-J., 2017 Jun 1, In : R Journal. 9, 1, p. 446-457 12 p.Research output: Contribution to journal › Article
Lasso
Logistic Regression
Penalty
Logistics
Maximum likelihood estimation
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 Dec 20, In : Studies in Nonlinear Dynamics and Econometrics. 21, 5, 20160107.Research output: Contribution to journal › Article
Financial Crisis
Bayesian Approach
financial crisis
Determinant
determinants
Thesis
Application of Spatial Bayesian Hierarchical Model with Variable Selection to fMRI data
Author: 信翰, 黃., 2015 Jul 21Supervisor: Lee, K. (Supervisor)
Student thesis: Master's Thesis
On Application of Bayesian Mixture of Linear Mixed-Effects Models to MLB Player Salaries
Author: 岱凌, 謝., 2017 Aug 3Supervisor: Lee, K. (Supervisor)
Student thesis: Master's Thesis
Robust Bayesian Variable Selection in Finite Mixture Regression Model with an Application to Financial Crisis Data
Author: 元, 馮., 2015 Jul 23Supervisor: Lee, K. (Supervisor)
Student thesis: Master's Thesis
Sparse Bayesian Variable Selection in Classification Problems with Large p Small n
Author: 彥龍, 陳., 2016 Jul 7Supervisor: Lee, K. (Supervisor)
Student thesis: Master's Thesis
Spatial Generalized Linear Mixed Effect Models to an fMRI Study of Simon Task
Author: 璟, 林., 2016 Jul 6Supervisor: Lee, K. (Supervisor)
Student thesis: Master's Thesis