Ray‐Bing Chen

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All published works

Action	Title	Year	Authors
+	Robust Bayesian cumulative probit linear mixed models for longitudinal ordinal data	2024	Kuo‐Jung Lee Ray‐Bing Chen Keunbaik Lee
+ PDF Chat	Resolution enhancement processing on low quality images using swin transformer based on interval dense connection strategy	2023	Rui‐Yang Ju Ray‐Bing Chen Jen‐Shiun Chiang Yu-Shian Lin Wei-Han Chen
+	Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy	2023	Rui‐Yang Ju Ray‐Bing Chen Jen‐Shiun Chiang Yu-Shian Lin Wei-Han Chen
+	CCDWT-GAN: Generative Adversarial Networks Based on Color Channel Using Discrete Wavelet Transform for Document Image Binarization	2023	Rui‐Yang Ju Yu-Shian Lin Jen‐Shiun Chiang Ray‐Bing Chen Wei-Han Chen Chun‐Tse Chien
+	Semantic Segmentation Using Super Resolution Technique as Pre-Processing	2023	Ray‐Bing Chen Wei-Han Chen Jen‐Shiun Chiang Chun‐Tse Chien Tingkai Chang
+ PDF Chat	Connection Reduction of DenseNet for Image Recognition	2022	Rui‐Yang Ju Jen‐Shiun Chiang Ray‐Bing Chen Yu-Shian Lin
+	Robust probit linear mixed models for longitudinal binary data	2022	Kuo‐Jung Lee Chanmin Kim Ray‐Bing Chen Keunbaik Lee
+	Three-stage binarization of color document images based on discrete wavelet transform and generative adversarial networks	2022	Yu-Shian Lin Rui‐Yang Ju Ray‐Bing Chen Tingyu Lin Jen‐Shiun Chiang
+ PDF Chat	Variational Bayesian inference for network autoregression models	2021	Wei‐Ting Lai Ray‐Bing Chen Ying Chen Thorsten Koch
+	Particle swarm stepwise (PaSS) algorithm for information criteria-based variable selections	2021	Ray‐Bing Chen Chien-Chih Huang Weichung Wang
+	The Variational Bayesian Inference for Network Autoregression Models	2021	Wei‐Ting Lai Ray‐Bing Chen Ying Chen Thorsten Koch
+ PDF Chat	The Variational Bayesian Inference for Network Autoregression Models	2021	Wei‐Ting Lai Ray‐Bing Chen Ying Chen Thorsten Koch
+	Determination of correlations in multivariate longitudinal data with modified Cholesky and hypersphere decomposition using Bayesian variable selection approach	2020	Kuo‐Jung Lee Ray‐Bing Chen Min‐Sun Kwak Keunbaik Lee
+	A review of Bayesian group selection approaches for linear regression models	2020	Wei‐Ting Lai Ray‐Bing Chen
+ PDF Chat	Finding optimal points for expensive functions using adaptive RBF-based surrogate model via uncertainty quantification	2020	Ray‐Bing Chen Yuan Wang Cheng Wu
+	Huber-type principal expectile component analysis	2020	Liang-Ching Lin Ray‐Bing Chen Mong-Na Lo Huang Meihui Guo
+	Finding Optimal Points for Expensive Functions Using Adaptive RBF-Based Surrogate Model Via Uncertainty Quantification	2020	Ray‐Bing Chen Yuan Wang Cheng Wu
+	TriSNAR: A Three-Layer Sparse Estimator for Large-Scale Network AutoRegressive Models	2020	Simon Trimborn Ying Chen Ray‐Bing Chen
+	Bayesian variable selection in a finite mixture of linear mixed-effects models	2019	Kuo‐Jung Lee Ray‐Bing Chen
+	Bayesian structure selection for vector autoregression model	2019	Chi‐Hsiang Chu Mong‐Na Lo Huang Shih‐Feng Huang Ray‐Bing Chen
+ PDF Chat	Greedy active learning algorithm for logistic regression models	2018	Hsiang-Ling Hsu Yuan‐chin Ivan Chang Ray‐Bing Chen
+ PDF Chat	Recognizing spatial and temporal clustering patterns of dengue outbreaks in Taiwan	2018	Wei-Ting Lai Chien‐Hsiun Chen Hsin Yi Hung Ray‐Bing Chen Sanjay Shete Chih‐Chieh Wu
+	Greedy Active Learning Algorithm for Logistic Regression Models	2018	Hsiang-Ling Hsu Yuan‐chin Ivan Chang Ray‐Bing Chen
+	Feedback Control for Binary Response	2017	Ping-Yang Chen Chi-Chun Hsia Yen-Hao Su Ray‐Bing Chen Sheng‐Mao Chang
+ PDF Chat	Fast Bayesian variable screenings for binary response regressions with small sample size	2017	Sheng‐Mao Chang Jung‐Ying Tzeng Ray‐Bing Chen
+	Multiple-Instance Logistic Regression with LASSO Penalty	2016	Ray‐Bing Chen Kuang-Hung Cheng Sheng‐Mao Chang Shuen‐Lin Jeng Ping-Yang Chen Chun-Hao Yang Chi-Chun Hsia
+	Bayesian Sparse Group Selection	2016	Ray‐Bing Chen Chi‐Hsiang Chu Shinsheng Yuan Ying Wu
+ PDF Chat	Bayesian variable selection for finite mixture model of linear regressions	2015	Kuo‐Jung Lee Ray‐Bing Chen Ying Wu
+	Bayesian Sparse Group Selection	2015	Ray‐Bing Chen Chi‐Hsiang Chu Shinsheng Yuan Ying Wu
+ PDF Chat	BSGS: Bayesian Sparse Group Selection	2015	Kuo‐Jung Lee Ray‐Bing Chen
+	Bayesian Sparse Group Selection	2015	Ray‐Bing Chen Shinsheng Yuan Ying Wu Chi‐Hsiang Chu
+	Bayesian Variable Selections for Probit Models with Componentwise Gibbs Samplers	2014	Sheng‐Mao Chang Ray‐Bing Chen Yunchan Chi
+	Bayesian Variable Selection for Multi-response Linear Regression	2014	Wanping Chen Ying Wu Ray‐Bing Chen
+	Bayesian variable selection for multi-response linear regression	2014	Wan Ping Chen Ying Wu Ray‐Bing Chen
+	Bayesian Variable Selection for Multi-response Linear Regression.	2014	Wanping Chen Ying Wu Ray‐Bing Chen
+	Exact D-optimal designs for weighted polynomial regression model	2000	Ray‐Bing Chen Mong‐Na Lo Huang

Common Coauthors

Coauthor	Papers Together
Kuo‐Jung Lee	6
Jen‐Shiun Chiang	6
Rui‐Yang Ju	5
Yu-Shian Lin	5
Sheng‐Mao Chang	4
Ying Wu	4
Chi‐Hsiang Chu	4
Wei-Han Chen	4
Wei‐Ting Lai	4
Ying Wu	3
Keunbaik Lee	3
Ying Chen	3
Shinsheng Yuan	3
Thorsten Koch	3
Yuan‐chin Ivan Chang	2
Ping-Yang Chen	2
Chun‐Tse Chien	2
Cheng Wu	2
Mong‐Na Lo Huang	2
Wanping Chen	2
Kuang-Hung Cheng	1
Tingkai Chang	1
Chien‐Hsiun Chen	1
Yen-Hao Su	1
Wan Ping Chen	1
Chien-Chih Huang	1
Chi-Chun Hsia	1
Hsin Yi Hung	1
Mong-Na Lo Huang	1
Simon Trimborn	1
Chi-Chun Hsia	1
Sanjay Shete	1
Weichung Wang	1
Jung‐Ying Tzeng	1
Shih‐Feng Huang	1
Hsiang-Ling Hsu	1
Shuen‐Lin Jeng	1
Chun-Hao Yang	1
Min‐Sun Kwak	1
Yunchan Chi	1
Chih‐Chieh Wu	1
Yuan Wang	1
Ying Chen	1
Liang-Ching Lin	1
Wei-Ting Lai	1
Tingyu Lin	1
Yuan Wang	1
Chanmin Kim	1
Hsiang-Ling Hsu	1
Meihui Guo	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Variable Selection via Gibbs Sampling	1993	Edward I. George Robert E. McCulloch	13
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	11
+ PDF Chat	Optimal predictive model selection	2004	Maria Maddalena Barbieri James O. Berger	10
+	Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties	2001	Jianqing Fan Runze Li	8
+	Bayesian Sparse Group Selection	2015	Ray‐Bing Chen Chi‐Hsiang Chu Shinsheng Yuan Ying Wu	6
+ PDF Chat	Markov Chain Monte Carlo: Can We Trust the Third Significant Figure?	2008	James M. Flegal Murali Haran Galin L. Jones	6
+	Bayesian constrained variable selection	2010	Alessio Farcomeni	6
+	A Sparse-Group Lasso	2012	Noah Simon Jerome H. Friedman Trevor Hastie Robert Tibshirani	6
+	Nonparametric regression using Bayesian variable selection	1996	Michael S. Smith Robert Kohn	5
+	Bayesian Variable Selections for Probit Models with Componentwise Gibbs Samplers	2014	Sheng‐Mao Chang Ray‐Bing Chen Yunchan Chi	5
+ PDF Chat	The Adaptive Lasso and Its Oracle Properties	2006	Hui Zou	4
+	The Bayesian Lasso	2008	Trevor Park George Casella	4
+ PDF Chat	Variable Selection and Model Comparison in Regression	1996	John Geweke	4
+ PDF Chat	Nearly unbiased variable selection under minimax concave penalty	2010	Cun‐Hui Zhang	4
+ PDF Chat	Model Selection and Estimation in Regression with Grouped Variables	2005	Ming Yuan Yi Lin	4
+	Regularization Paths for Generalized Linear Models via Coordinate Descent.	2010	Jerome H. Friedman Trevor Hastie Rob Tibshirani	4
+	APPROACHES FOR BAYESIAN VARIABLE SELECTION	1997	Edward I. George Robert E. McCulloch	4
+	A Predictive Approach to Model Selection	1979	Seymour Geisser William F. Eddy	3
+	Bayesian Analysis of Binary and Polychotomous Response Data	1993	James H. Albert Siddhartha Chib	3
+	A Bayesian Variable-Selection Approach for Analyzing Designed Experiments with Complex Aliasing	1997	Hugh Chipman Michael S. Hamada C. F. Jeff Wu	3
+	The Bayesian group-Lasso for analyzing contingency tables	2009	Sudhir Raman Thomas J. Fuchs Peter J. Wild Edgar Dahl Volker Röth	3
+	Subset selection for vector autoregressive processes using Lasso	2007	Nan‐Jung Hsu Hung-Lin Hung Ya‐Mei Chang	3
+ PDF Chat	Comparison of Bayesian predictive methods for model selection	2016	Juho Piironen Aki Vehtari	3
+ PDF Chat	A review of Bayesian variable selection methods: what, how and which	2009	Robert B. O’Hara Mikko J. Sillanpää	3
+ PDF Chat	Fixed-Width Output Analysis for Markov Chain Monte Carlo	2006	Galin L. Jones Murali Haran Brian Caffo Ronald C. Neath	3
+	Estimation of covariance matrix of multivariate longitudinal data using modified Choleksky and hypersphere decompositions	2019	Keunbaik Lee Hyunsoon Cho Min‐Sun Kwak Eun Jin Jang	3
+	Regularized estimation in sparse high-dimensional time series models	2015	Sumanta Basu George Michailidis	3
+	Variable Selection and Model Comparison in Regression	1994	John Geweke	3
+ PDF Chat	Deviance information criteria for missing data models	2006	Gilles Celeux Florence Forbes Caroline Robert D. M. Titterington	3
+	Bayesian structure selection for vector autoregression model	2019	Chi‐Hsiang Chu Mong‐Na Lo Huang Shih‐Feng Huang Ray‐Bing Chen	3
+	A Bayesian Variable-Selection Approach for Analyzing Designed Experiments With Complex Aliasing	1997	Hugh Chipman Michael S. Hamada Changbao Wu	3
+	Parallel Large Scale Feature Selection for Logistic Regression	2009	Sameer Singh Jeremy Kubica S. Larsen Daria Sorokina	2
+ PDF Chat	Modelling the random effects covariance matrix in longitudinal data	2003	Michael J. Daniels Yan D. Zhao	2
+	Pattern Recognition and Machine Learning	2007	Christopher Bishop	2
+ PDF Chat	Support union recovery in high-dimensional multivariate regression	2010	Guillaume Obozinski Martin J. Wainwright Michael I. Jordan	2
+	Assessing a mixture model for clustering with the integrated completed likelihood	2000	Christophe Biernacki Gilles Celeux G. Govaert	2
+	Penalized Regressions: The Bridge versus the Lasso	1998	Wenjiang J. Fu	2
+	A New Algorithm for Simulating a Correlation Matrix Based on Parameter Expansion and Reparameterization	2006	Xuefeng Liu Michael J. Daniels	2
+	On Bayesian Analysis of Mixtures with an Unknown Number of Components	1997	Sylvia Richardson Peter J. Green	2
+	Reversible jump Markov chain Monte Carlo computation and Bayesian model determination	1995	Peter J. Green	2
+	A note on the group lasso and a sparse group lasso	2010	Jerome H. Friedman Trevor Hastie Robert Tibshirani	2
+ PDF Chat	Bayesian Measures of Model Complexity and Fit	2002	David J. Spiegelhalter Nicola Best Bradley P. Carlin Angelika van der Linde	2
+ PDF Chat	Scalable Variational Inference for Bayesian Variable Selection in Regression, and Its Accuracy in Genetic Association Studies	2012	Peter Carbonetto Matthew Stephens	2
+	A study of variable selection using -prior distribution with ridge parameter	2011	Meïli Baragatti Denys Pommeret	2
+	A Direct Method of Nonparametric Measurement Selection	1971	A.W. Whitney	2
+	Selection of Working Correlation Structure and Best Model in GEE Analyses of Longitudinal Data	2007	James Cui Guoqi Qian	2
+ PDF Chat	Variable Selection in Finite Mixture of Regression Models	2007	Abbas Khalili Jiahua Chen	2
+	A sequential algorithm for training text classifiers	1994	David Lewis William A. Gale	2
+ PDF Chat	Markov Chain Monte Carlo Methods and the Label Switching Problem in Bayesian Mixture Modeling	2005	Ajay Jasra Chris Holmes David A. Stephens	2
+ PDF Chat	Sparse Vector Autoregressive Modeling	2015	Richard A. Davis Pengfei Zang Tian Zheng	2