• 199 Citations
  • 7 h-Index
20002019
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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.

Projects 2010 2018

Research Output 2000 2019

  • 199 Citations
  • 7 h-Index
  • 40 Article
  • 3 Conference contribution
  • 1 Paper

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 journalArticle

Problem-Based Learning
Patient Selection
Labels
Learning
Sample Size

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 journalArticle

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 journalArticle

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 journalArticle

Active Learning
Logistic Regression Model
Learning algorithms
Logistics
Learning Algorithm

Optimal Noncollapsing Space-Filling Designs for Irregular Experimental Regions

Chen, R-B., Li, C. H., Hung, Y. & Wang, W., 2019 Jan 2, In : Journal of Computational and Graphical Statistics. 28, 1, p. 74-91 18 p.

Research output: Contribution to journalArticle

Discrete Optimization
Constrained Optimization Problem
Particle Swarm Optimization
Irregular
Thermal Management

Thesis

Bayesian Indicator Variable Selection in Gaussian Process for Computer Experiments

Author: 凡, 張., 2018 Jun 26

Supervisor: Chen, R. (Supervisor)

Student thesis: Master's Thesis

Numerical Optimization Approaches for Searching Discrimination Designs

Author: 丞淋, 許., 2016 Aug 31

Supervisor: Chen, R. (Supervisor)

Student thesis: Master's Thesis

Optimal model discrimination designs by discrete particle swarm optimization

Author: 瑞彬, 李., 2015 Jul 31

Supervisor: Chen, R. (Supervisor)

Student thesis: Master's Thesis

Some Learning Procedures for Binary and Multiple Classification Problems

Author: 柏言, 吳., 2015 Aug 12

Supervisor: Chen, R. (Supervisor)

Student thesis: Master's Thesis

Swarm Intelligence Algorithms for Design Generators

Author: 秉洋, 陳., 2018 Jan 25

Supervisor: Chen, R. (Supervisor)

Student thesis: Doctoral Thesis