Ray-Bing Chen

35 papers C 1Journal 30Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Bayesian selection approach for categorical responses via multinomial probit models.
Comput. Stat. Data Anal.
Chi-Hsiang Chu, Kuo-Jung Lee, Chien-Chin Hsu, Ray-Bing Chen
2025 J jnl
Robust Bayesian cumulative probit linear mixed models for longitudinal ordinal data.
Comput. Stat.
Kuo-Jung Lee, Ray-Bing Chen, Keunbaik Lee
2024 J jnl
ECOPICA: empirical copula-based independent component analysis.
Stat. Comput.
Hung-Kai Pi, Meihui Guo, Ray-Bing Chen, Shih-Feng Huang
2023 J jnl
Indicator-based Bayesian variable selection for Gaussian process models in computer experiments.
Comput. Stat. Data Anal.
Fan Zhang, Ray-Bing Chen, Ying Hung, Xinwei Deng
2022 J jnl
Variational Bayesian inference for network autoregression models.
Comput. Stat. Data Anal.
Wei-Ting Lai, Ray-Bing Chen, Ying Chen, Thorsten Koch
2020 J jnl
Finding Optimal Points for Expensive Functions Using Adaptive RBF-Based Surrogate Model Via Uncertainty Quantification.
CoRR
Ray-Bing Chen, Yuan Wang, Chien-Fu Jeff Wu
2020 J jnl
Finding optimal points for expensive functions using adaptive RBF-based surrogate model via uncertainty quantification.
J. Glob. Optim.
Ray-Bing Chen, Yuan Wang, C. F. Jeff Wu
2020 J jnl
Huber-type principal expectile component analysis.
Comput. Stat. Data Anal.
Liang-Ching Lin, Ray-Bing Chen, Mong-Na Lo Huang, Meihui Guo
2019 J jnl
Active learning with simultaneous subject and variable selections.
Neurocomputing
Yuan-chin Ivan Chang, Ray-Bing Chen
2019 J jnl
Greedy active learning algorithm for logistic regression models.
Comput. Stat. Data Anal.
Hsiang-Ling Hsu, Yuan-chin Ivan Chang, Ray-Bing Chen
2019 J jnl
Sparse-Group Independent Component Analysis with application to yield curves prediction.
Comput. Stat. Data Anal.
Ying Chen, Linlin Niu, Ray-Bing Chen, Qiang He
2018 J jnl
Optimizing two-level orthogonal arrays for simultaneously estimating main effects and pre-specified two-factor interactions.
Comput. Stat. Data Anal.
Ping-Yang Chen, Ray-Bing Chen, C. Devon Lin
2017 — conf
Feedback Control for Binary Response.
TAAI
Ping-Yang Chen, Chi-Chun Hsia, Yen-Hao Su, Ray-Bing Chen, Sheng-Mao Chang
2017 J jnl
Sequential Designs Based on Bayesian Uncertainty Quantification in Sparse Representation Surrogate Modeling.
Technometrics
Ray-Bing Chen, Weichung Wang, C. F. Jeff Wu
2016 J jnl
Bayesian Variable Selections for Probit Models with Componentwise Gibbs Samplers.
Commun. Stat. Simul. Comput.
Sheng-Mao Chang, Ray-Bing Chen, Yunchan Chi
2016 J jnl
Bayesian variable selection for finite mixture model of linear regressions.
Comput. Stat. Data Anal.
Kuo-Jung Lee, Ray-Bing Chen, Ying Nian Wu
2016 J jnl
Optimizing Two-Level Supersaturated Designs Using Swarm Intelligence Techniques.
Technometrics
Frederick Kin Hing Phoa, Ray-Bing Chen, Weichung Wang, Weng Kee Wong
2016 C conf
Particle Swarm Stepwise Algorithm (PaSS) on Multicore Hybrid CPU-GPU Clusters.
CIT
Mu Yang, Ray-Bing Chen, I-Hsin Chung, Weichung Wang
2015 J jnl
BSGS: Bayesian Sparse Group Selection.
R J.
Kuo-Jung Lee, Ray-Bing Chen
2015 J jnl
COPICA - independent component analysis via copula techniques.
Stat. Comput.
Ray-Bing Chen, Meihui Guo, Wolfgang K. Härdle, Shih-Feng Huang
2015 J jnl
Minimax optimal designs via particle swarm optimization methods.
Stat. Comput.
Ray-Bing Chen, Shin-Perng Chang, Weichung Wang, Heng-Chih Tung, Weng Kee Wong
2015 — conf
iWAPT Invited Talks.
IPDPS Workshops
Ponnuswamy Sadayappan, Ray-Bing Chen
2014 J jnl
Adaptive block size for dense QR factorization in hybrid CPU-GPU systems via statistical modeling.
Parallel Comput.
Ray-Bing Chen, Yaohung M. Tsai, Weichung Wang
2014 — conf
Bayesian Variable Selection for Multi-response Linear Regression.
TAAI
Wan-Ping Chen, Ying Nian Wu, Ray-Bing Chen
2014 J jnl
Discrete particle swarm optimization for constructing uniform design on irregular regions.
Comput. Stat. Data Anal.
Ray-Bing Chen, Yen-Wen Hsu, Ying Hung, Weichung Wang
2014 J jnl
TVICA - Time varying independent component analysis and its application to financial data.
Comput. Stat. Data Anal.
Ray-Bing Chen, Ying Chen, Wolfgang K. Härdle
2014 J jnl
Using animal instincts to design efficient biomedical studies via particle swarm optimization.
Swarm Evol. Comput.
Jiaheng Qiu, Ray-Bing Chen, Weichung Wang, Weng Kee Wong
2013 J jnl
Contour estimation via two fidelity computer simulators under limited resources.
Comput. Stat.
Ray-Bing Chen, Ying-Chao Hung, Weichung Wang, Sung-Wei Yen
2013 J jnl
Optimizing Latin hypercube designs by particle swarm.
Stat. Comput.
Ray-Bing Chen, Dai-Ni Hsieh, Ying Hung, Weichung Wang
2013 J jnl
Screening Procedure for Supersaturated Designs Using a Bayesian Variable Selection Method.
Qual. Reliab. Eng. Int.
Ray-Bing Chen, Jian-Zhong Weng, Chi-Hsiang Chu
2012 — conf
Tuning Block Size for QR Factorization on CPU-GPU Hybrid Systems.
MCSoC
Yaohung M. Tsai, Weichung Wang, Ray-Bing Chen
2011 J jnl
Stochastic matching pursuit for Bayesian variable selection.
Stat. Comput.
Ray-Bing Chen, Chi-Hsiang Chu, Te-You Lai, Ying Nian Wu
2011 J jnl
Using adaptive multi-accurate function evaluations in a surrogate-assisted method for computer experiments.
J. Comput. Appl. Math.
Weichung Wang, Ray-Bing Chen, Chia-Lung Hsu
2010 J jnl
Exact D-optimal designs for a second-order response surface model on a circle with qualitative factors.
Comput. Stat. Data Anal.
Mong-Na Lo Huang, Chuan-Pin Lee, Ray-Bing Chen, Thomas Klein
2007 J jnl
A null space method for over-complete blind source separation.
Comput. Stat. Data Anal.
Ray-Bing Chen, Ying Nian Wu