Ray-Bing Chen      

 

　

　

　

　

　

　

　

　

　

　

Ray-Bing Chen

Associate Professor

Institute of Statistics, National University of Kaohsiung

 

No. 700, Kaohsiung University Rd., Nan-Tzu District, Kaohsiung, Taiwan, 811.

Phone: 886-7-5919523

E-mail: rbchen@nuk.edu.tw

 

Education:

B.S. in Department of Applied Mathematics ,  National Sun Yat-sen University, Taiwan, 1994   

M.S. in Department of Applied Mathematics , National Sun Yat-sen University, Taiwan, 1996

M.S. in Department of Statistics , University of California at Los Angeles, California, USA, 2001

Ph.D. in Department of Statistics, University of California at Los Angeles, California, USA, 2003
 

Research:

Referred paper:

1.          Ray-Bing Chen and Mong-Na Lo Huang (1994). A Study on Exact D-Optimal Design for Polynomial Regression.  Journal of the Chinese Statistical Association, 32, 517-540. (in Chinese)

2.          Ray-Bing Chen and Mong-Na Lo Huang (2000). Exact D-optimal Designs for Weighted Polynomial Model. Computational Statistics and Data Analysis, 33(2), 137-149. (SCIE)

3.          Mong-Na Lo Huang, Ray-Bing Chen*, and Ying-Ying Chen (2005). c-optimal Designs for Weighted Polynomial Regression Models. Sankhya: The Indian Journal of Statistics, 67(1), 90-105. (NUK)

4.          Mong-Na Lo Huang, Ray-Bing Chen*, Chun-Shi Lin and Weng Kee Wong (2006). Optimal Designs for Parallel Models with Correlated Responses. Statistica Sinica, 16(1), 121-133. (SCI, NUK)

5.          Ray-Bing Chen* and Shih-Wei Chiang (2006). Overcomplete Blind Source Separation for Time-series Processes. Journal of the Chinese Statistical Association, 44, 342-363. (NUK)

6.          Ray-Bing Chen* and Ying Nian Wu (2007). A Null Space Method for Over-complete Blind Source Separation. Computational Statistics and Data Analysis, 51, 5519-5536. (SCI, NUK)

7.          Weichung Wang and Ray-Bing Chen* (2008). Finding Effective Points by Surrogate Models with Overcomplete Bases. Journal of Computational and Applied Mathematics, 217, 110-122. (SCI, NUK)

8.          Ray-Bing Chen*, Weng Kee Wong and Kung-Yu Li (2008). Optimal Minimax Designs Over a Prespecified Interval in a Heteroscedastic Polynomial Model. Statistics and Probability Letters, 78, 1914-1921. (SCI, NUK)

9.          Ray-Bing Chen, Yu-Jen Tsai and Dennis K. J. Lin* (2008). Conditional Optimal Small Composite Designs. Journal of Statistics and Applications, 6, 35-56. (NUK)

10.      Mong-Na Lo Huang, Chuan-Pin Lee*, Ray-Bing Chen, Thomas Klein (2010). Exact D-optimal Designs for a Second-order Response Surface Model on a Circle with Qualitative Factors. Computational Statistics and Data Analysis, 54, 516-530. (SCI, NUK)

11.      Ray-Bing Chen, Chi-Hsiang Chu, Te-You Lai and Ying Nian Wu (2009). Stochastic Matching Pursuit for Bayesian Variable Selection. Accepted by Statistics and Computing. (SCI, NUK)

12.      Ray-Bing Chen, Weichung Wang and C. F. Jeff Wu (2009). Building Surrogates with Overcomplete Bases in a Computer Experiment for Bistable Laser Diodes. IIE Transactions on Quality and Reliability Engineering, Under Revision. (SCI, NUK)

Proceeding:

1.          Ray-Bing Chen* and Ying Nian Wu (2002). A Null-space Representation for Overcomplete Independent Component Analysis. 2002 Proceedings of American Statistical Association, Statistical Computing Section [CD-ROM]. Alexandria, VA: American Statistical Association.

2.          Ray-Bing Chen, Dennis K. J. Lin and Yu-Jen Tsai (2006). Conditional Optimal Composite Designs. In Proceedings of 2006 International Conference on Design of Experiments and Its Applications, Available on http://stat.nankai.edu.cn/doe.htm

Technical Reports and Others:

1.          Ray-Bing Chen (2003). A Null-space Algorithm for Overcomplete Independent Component Analysis. Ph.D. Thesis, Department of Statistics, University of California, Los Angeles.

2.          Weichung Wang, Ray-Bing Chen and Chia-Lung Hsu (2009). A Surrogate-Assisted Method Using Adaptive Multi-Accurate Function Evaluations, Submitted. (NUK)

3.          Ching-Kang Ing, Tze Leung Lai and Ray-Bing Chen (2008). Estimation of High-Dimensional Covariance Matrices, Working paper. (NUK)

4.          Ray-Bing Chen, Mei-Hui Guo, Wolfgang K. Hardle, and Shih-Feng Huang (2009). COPICA - Independent Component Analysis via Copula Techniques. Submitted. (NUK)

5.          Ray-Bing Chen and Dennis K. J. Lin (2009). Conditionally Optimal Star Points in Central Composite Designs for Response Surface Methodology. Submitted. (NUK)

 

        Optimal Composite Response Surface Designs

Overcomplete Blind Source Separation for Time-series Processes

Stochastic Matching Pursuit Algorithms for Bayesian Variable Selection

 

Teaching:

Graduate Courses:

Regression Analysis: Fall 2003, Fall 2004, Fall 2008 (Power-point files and Exam's) 

Experimental Designs: Spring 2004, Spring 2005, Spring 2008 (Power-point files and Exam's)

Fundamental Statistics: Fall 2005, Fall 2006 (Exam.)

Large Sample Theory:  Fall 2005 (Exam.)

Mathematical Statistics: Fall 2005, Fall 2006 (Exam.)

Linear Models: Spring 2006 (Exam.)

Statistical Computing: Spring 2006, Fall 2007, Fall 2008 (Homework)

Independent Component Analysis: Spring 2007

    Undergraduate Courses:

Probability and Statistics I: Fall 2003, Fall 2006 (Exam)

Probability and Statistics II: Spring 2004, Spring 2007 (Exam.)

Mathematical Statistics I: Fall 2004, Fall 2007 (Exam.)

Mathematical Statistics II: Spring 2005, Spring 2008 (Exam.)

Seminars:

  1. Institute of Statistical Science, Academia Sinica, Taipei, Taiwan, October 20, 2003.
  2. 92年中國統計學社學術研討會, Taipei, Taiwan, November 22, 2003.
  3. Workshop on Statistical and Machine Learning, Hulien, Taiwan, February 5~6, 2004. 
  4. Department of Statistics, National Cheng Kung University, Tainan, Taiwan, February 26, 2004.
  5. Institute of Statistics, National Tsing Hua University and Institute of Statistics, National Chiao Tung University, Hsinchu, Taiwan, April 16, 2004.
  6. Department of Statistics, National Taipei University, Taipei, Taiwan, May 19, 2004.
  7. ICSA 2004 Applied Statistics Symposium, San Diego, USA, June 6~9, 2004.
  8. 2004 Joint Statistical Meetings (JSM 2004), Toronto, Canada, August 8~12, 2004.
  9. 2004年統計関連学会連合大会, 岩手県花巻市, Japan, September 3~6, 2004.
  10. Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, October 18, 2004.
  11. Department of Statistics, National Taipei University, Taipei, Taiwan, November 10, 2004.
  12. 93年中國統計學社學術研討會, Chiayi, Taiwan, November 13~14, 2004.
  13. The 2nd Workshop on Statistical and Machine Learning, Taichung, Taiwan, January 13~15, 2005.
  14. Institute of Statistics, National Chiao Tung University, and Institute of Statistics, National Tsing Hua University, Hsinchu, Taiwan, February 25, 2005.
  15. Department of Statistics, National Cheng Kung University, Tainan, Taiwan, March 10, 2005.
  16. Institute of Statistical Science, National Chung Cheng University, Chiayi, Taiwan, March 23, 2005.
  17. 2005中華機率統計學會年會及學術研討會、第十四屆南區統計研討會暨2005中華資料採礦協會年會, Tainan, Taiwan, June 25~26, 2005.
  18. 2005 Joint Statistical Meetings (JSM 2005), Minneapolis, USA, August 7~11, 2005.
  19. The Graduate Institute of Statistics and Actuarial Science, Feng Chia University, Taichung, Taiwan, October 7, 2005.
  20. Department of Management Science, R.O.C. Military Academy, Kaohsiung, Taiwan, October 26, 2005.
  21. 94年中國統計學社學術研討會, Taipei, Taiwan, December 10, 2005.
  22. Department of Statistics, National Chengchi University, Taipei, Taiwan, May 1, 2006.
  23. 第十五屆南區統計研討會, Chiayi, Taiwan, June 24~25, 2006.
  24. 2006 Joint Statistical Meeting (JSM 2006), Seattle, USA, August 6~10, 2006.
  25. 2006 年數學學術研討會暨中華民國數學會年會, Taipei, Taiwan, December 8~10, 2006.
  26. The Third Statistics and Machine Learning Workshop 2007, Ilan, Taiwan, March 29~31, 2007.
  27. Center for Applied Statistics and Economics, Humboldt-Universitat zu Berlin, Berlin, Germany, April 4, 2007.
  28. 第十 六屆南區統計研討會, Kaohsiung, Taiwan, June 22~23, 2007.
  29. The 2007 Taipei International Statistical Symposium and ICSA International Conference, Taipei, Taiwan, June 25~27, 2007.
  30. Institute of Statistical Science, Academia Sinica, Taipei, Taiwan, September 3, 2007.
  31. Department of Statistics, National Chengchi University, Taipei, Taiwan, October 8, 2007.
  32. Workshop on “Copula: Theory and Praxis”, Berlin, Germany, December 7~8, 2007.
  33. The Forth Statistics and Machine Learning Workshop 2008, Kaohsiung, Taiwan, March 29~30, 2008.
  34. 第十七屆南區統計研討會暨九十六年度中華機率統計學會年會及學術研討會, Hulien, Taiwan, June 27~28, 2008.
  35. TIMS Computational Science Software Development Workshop 2008, Taipei, Taiwan, August 5, 2008.
  36. Department of Statistics, National Cheng Kung University, Tainan, Taiwan, October 16, 2008.
  37. Institute of Statistics, National Tsing Hua University, Hsinchu, Taiwan, December 5, 2008.
  38. Department of Mathematics, National Taiwan University, Taipei, Taiwan, December 15, 2008.
  39. 97年中國統計學社學術研討會, Taipei, Taiwan, December 19, 2008.
  40. Symposium in Statistics and Probability, Kaohsiung, Taiwan, January 9, 2009.
  41. Institute of Statistical Science, Academia Sinica, Taipei, Taiwan, January 19, 2009.
  42. The Fifth Statistics and Machine Learning Workshop 2009, Tainan, Taiwan, April 25~26, 2009.
  43. Workshop on Model Selection and Related Topics, Taipei, Taiwan, May 25, 2009.
  44. 第十八屆南區統計研討會, Kaohsiung, Taiwan, June 26~27, 2009.
  45. 2009 Joint Statistical Meeting (JSM 2009), Washington DC, USA, August 1~6, 2009 (Topic Contributed session).
  46. Workshop on Copula Theory and its Applications, Warsaw, Poland, September 25-26, 2009.
  47. Department of Mathematics, Tamkang University, Taipei, Taiwan, October 20, 2009.
  48. Institute of Statistical Science, Academia Sinica, Taipei, Taiwan, October 26, 2009.
  49. Graduate Institute of Statistics, National Central University, Taoyuan, Taiwan, December 1, 2009.
  50. 2009年中華民國數學會年會暨學術研討會, Chiayi, Taiwan, December 4~6, 2009.

 

Membership:

American Statistical Association, 中華機率統計學會, Society for Industrial and Applied Mathematics (SIAM)

Student:

        Ph. D. Students:

       100級: 朱基祥

 

        Master Students:

94級: 江世瑋: Overcomplete Blind Source Separation for Time-series Models

           蔡雨蓁: Optimal Composite Response Surface Designs

           周興隆: Learning Bases from Natural Sounds

95級: 謝鐘毅: A Bayesian Approach for Optimization Problems in Computer Experiment

          李昆育: Optimal Minimax Designs for Three Different Criteria

96級: 賴德侑: Variable Selection via MCMC Matching Pursuit 

           周祈藍: Minimal-point Composite Designs for Second-order Response Surfaces

           黃音倢: A Study on Minimal-point Composite Designs

97級: 朱基祥: Bayesian Variable Selection for Large p and Small n Problems

           許華芳: Run Orders of Central Composite Designs with Correlated Observations and Block Structures

98級: 陳怡如: Surrogate-Assisted Trajectory Based Methodology for Optimization Problems in Computer Experiments

          簡暉展: Adaptive Search Region Methods with Derivative Information in Computer Experiments

99級: 翁建中:

          洪義忠:

         蔡雨潔: