Projects per year
Personal profile
Education
- 2003 PhD, Statistics, University of California, Los Angeles
Research Interests
- Experimental designs
- Independent component analysis
- Statistical computing
- Statistical modeling
Experience
- 2003/8 ~ 2008/2 Assistant Professor, Institute of Statistics, National University of Kaohsiung
- 2008/2 ~ 2011/1 Associate Professor, Institute of Statistics, National University of Kaohsiung
- 2008/8 ~ 2011/1 Director, Institute of Statistics, National University of Kaohsiung
- 2011/2 ~ 2013/7 Associate Professor, Department of Statistics, College of Management, National Cheng Kung University
- 2013/8~ present Professor, Department of Statistics, College of Management, National Cheng Kung University
Fingerprint Dive into the research topics where Ray-Bing Chen 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
Particle Swarm Optimization
Mathematics
D-optimal Design
Mathematics
Variable Selection
Mathematics
Polynomial Model
Mathematics
Independent component analysis
Engineering & Materials Science
Independent Component Analysis
Mathematics
Particle swarm optimization (PSO)
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2000 2019
Active learning with simultaneous subject and variable selections
Ivan Chang, Y. C. & Chen, R-B., 2019 Feb 15, In : Neurocomputing. 329, p. 495-505 11 p.Research output: Contribution to journal › Article
Problem-Based Learning
Patient Selection
Labels
Learning
Sample Size
A New Perspective on Analyzing World University Rankings
Hsueh, C-M., Chang, S-M. & Chen, R-B., 2019 Sep, In SEAAIR (東南亞校務研究協會) 2019 19th Annual Conference. Taipei, TaiwanResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution
Bayesian structure selection for vector autoregression model
Chu, C. H., Lo Huang, M. N., Huang, S. F. & Chen, R-B., 2019 Aug 1, In : Journal of Forecasting. 38, 5, p. 422-439 18 p.Research output: Contribution to journal › Article
Vector Autoregression
Dimensionality
Coefficient
Multiple Time Series
Model structures
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
Greedy active learning algorithm for logistic regression models
Hsu, H. L., Chang, Y. C. I. & Chen, R-B., 2019 Jan 1, In : Computational Statistics and Data Analysis. 129, p. 119-134 16 p.Research output: Contribution to journal › Article
Active Learning
Logistic Regression Model
Learning algorithms
Logistics
Learning Algorithm
Thesis
Bayesian Indicator Variable Selection in Gaussian Process for Computer Experiments
Author: 凡, 張., 2018 Jun 26Supervisor: Chen, R. (Supervisor)
Student thesis: Master's Thesis
Numerical Optimization Approaches for Searching Discrimination Designs
Author: 丞淋, 許., 2016 Aug 31Supervisor: Chen, R. (Supervisor)
Student thesis: Master's Thesis
Optimal model discrimination designs by discrete particle swarm optimization
Author: 瑞彬, 李., 2015 Jul 31Supervisor: Chen, R. (Supervisor)
Student thesis: Master's Thesis
Some Learning Procedures for Binary and Multiple Classification Problems
Author: 柏言, 吳., 2015 Aug 12Supervisor: Chen, R. (Supervisor)
Student thesis: Master's Thesis
Swarm Intelligence Algorithms for Design Generators
Author: 秉洋, 陳., 2018 Jan 25Supervisor: Chen, R. (Supervisor)
Student thesis: Doctoral Thesis