Kuo-Jung Lee

Associate Professor

  • 40 Citations
  • 3 h-Index
20052019
If you made any changes in Pure these will be visible here soon.

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.

  • 2 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.

Projects 2012 2018

Research Output 2005 2019

  • 40 Citations
  • 3 h-Index
  • 10 Article
  • 2 Conference contribution

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 journalArticle

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 journalArticle

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 journalArticle

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 journalArticle

Lasso
Logistic Regression
Penalty
Logistics
Maximum likelihood estimation
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 21

Supervisor: 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 3

Supervisor: 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 23

Supervisor: 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 7

Supervisor: 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 6

Supervisor: Lee, K. (Supervisor)

Student thesis: Master's Thesis