Ray-Bing Chen      

 

 

 

 

 

 

 

 

 

 

 

Ray-Bing Chen

 

Professor

Department of Statistics, National Cheng Kung University

 

Management Building, 2nd Floor, No. 1 Ta-Hsueh Road, 70101 Tainan, Taiwan.

Phone: 886-6-2757575-53645

E-mail: rbchen@mail.ncku.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 Regression 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.

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)

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.

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)

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)

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)

9.          Ray-Bing Chen, Yu-Jen Tsai and Dennis K. J. Lin* (2008). Conditional Optimal Small Composite Designs. Journal of Statistics and Applications, 6, 29-48.

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)

11.      Ray-Bing Chen, Weichung Wang* and C. F. Jeff Wu (2011). Building Surrogates with Overcomplete Bases in Computer Experiments with Applications to Bistable Laser Diodes. IIE Transactions, 43, 1-15. (SCI)

12.      Ray-Bing Chen*, Chi-Hsiang Chu, Te-You Lai and Ying Nian Wu (2011). Stochastic Matching Pursuit for Bayesian Variable Selection. Statistics and Computing, 21, 247-259. (SCI)

13.      Weichung Wang, Ray-Bing Chen* and Chia-Lung Hsu (2011). Using Adaptive Multi-Accurate Function Evaluations in a Surrogate-Assisted Method for Computer Experiments, Journal of Computational and Applied Mathematics, 235, 3151-3162. (SCI)

14.      Ray-Bing Chen*, Jian-Zhong Weng and Chi-Hsiang Chu (2013). Screening Procedure for Supersaturated Designs Using a Bayesian Variable Selection Method. Quality and Reliability Engineering International. 29, 89-101. (SCI)

15.      Ray-Bing Chen, Dai-Ni Hsieh, Ying Hung, Weichung Wang* (2013). Optimizing Latin Hypercube Designs by Particle Swarm. Statistics and Computing, 23, 663-676. (SCI)

16.      Ray-Bing Chen, Ying-Chao Hung, Weichung Wang*, Sung-Wei Yen (2013). Contour Estimation via Two Fidelity Computer Simulators under Limited Resources. Computational Statistics, 28, 1813-1834. (SCI)

17.      Ray-Bing Chen, Yen-Wen Shu, Ying Hung and Weichung Wang* (2014). Discrete Particle Swarm Optimization for Constructing Uniform Design on Irregular Regions. Computational Statistics and Data Analysis, 72, 282-297. (SCI)

18.      Ray-Bing Chen, Ying Chen*, Woflgang K. Hardle (2014). TVICA - Time Varying Independent Component Analysis and Its Application to Financial Data. Computational Statistics and Data Analysis, 74, 95-109. (SCI)

19.      Ray-Bing Chen, Yaohung M. Tsai and Weichung Wang* (2014). Adaptive Block Size for Dense QR Factorization in Hybrid CPU-GPU Systems via Statistical Modeling. Parallel Computing, 40, 70-85. (SCI)

20.      Jiaheng Qiu, Ray-Bing Chen, Weichung Wang and Weng Kee Wong* (2014) Using Animal Instincts to Design Efficient Biomedical Studies via Particle Swarm Optimization. Swarm and Evolutionary Computation,18, 1-10.

21.      Ray-Bing Chen, Mei-Hui Guo*, Wolfgang K. Hardle, and Shih-Feng Huang (2015). COPICA - Independent Component Analysis via Copula Techniques. Statistics and Computing, 25, 273-288. (SCI)

22.      Ray-Bing Chen* and Dennis K. J. Lin, (2015), A Note on Conditionally Optimal Star Points in Central Composite Designs for Response Surface Methodology, Journal of the Chinese Statistical Association, 53, 145-157.

23.      Weng Kee Wong, Ray-Bing Chen, Chien-Chih Huang, and Weichung Wang* ( 2015). A Modified Particle Swarm Optimization Technique for Finding Optimal Designs for Mixture Models. PLoS One, 10(6): e0124720. doi:10.1371. (SCI)

24.      Ray-Bing Chen, Shin-Perng Chang, Weichung Wang*, Heng-Chih Tung and Weng Kee Wong (2015). Minimax Optimal Designs via Particle Swarm Optimization Methods. Statistics and Computing, 25, 975-988. (SCI)

25.      Kuo-Jung Lee* and Ray-Bing Chen (2015). BSGS: Bayesian Sparse Group Selection. R Journal, 7(2), 122-133. (SCI)

26.      Ray-Bing Chen, Ping-Yang Chen, Heng-Chin Tung, and Weng Kee Wong* (2015). Exact D-Optimal Designs for Michaelis-Menten Model with Correlated Observations by Particle Swarm Optimization, In E. Fackle-Fornius (Ed.) Festschrift in Honor of Hans Nyquist on the Occasion of His 65th Birthday, pp. 60-73, Department of Statistics, Stockholm University: Stockholm, Sweden.

27.      Frederick Kim Hing Phoa*, Ray-Bing Chen, Weichung Wang and Weng Kee Wong (2016). Optimizing Two-level Supersaturated Designs using Swarm Intelligence Techniques. Technometrics, 58(1), 43-49. (SCI)

28.      Kuo-Jung Lee, Ray-Bing Chen* and Ying Nian Wu (2016). Bayesian Variable Selection for Finite Mixture Model of Linear Regressions, Computational Statistics and Data Analysis, 95, 1-16.

29.      Sheng-Mao Chang*, Ray-Bing Chen and Yunchan Chi (2016). Bayesian Variable Selection for Probit Model with Componentwise Gibbs Sampler. Communications in Statistics - Simulation and Computation, 45, 2753-2766. (SCI)

30.      Ray-Bing Chen*, Chi-Hsiang Chu, Shinsheng Yuan and Ying Nian Wu (2016). Bayesian Sparse Group Selection. Journal of Computational and Graphical Statistics, 25, 665-683. (SCI)

31.      Ray-Bing Chen, Ying Chen and Qian He*, (2017) Penalized Independent Factor Analysis with Application to Understand Sovereign Default Probability, in W. Hardle, C. Y. Chen & L. Overbeck (eds), Applied quantitative finance, 3 edition, Springer Science & Business Media. Pages 177-206.

32.      Ray-Bing Chen*, Weichung Wang and C. F. Jeff Wu (2017). Sequential Designs Based on Bayesian Uncertainty Quantification in Sparse Representation Surrogate Modeling, Technometrics, 59(2), 139-152. (SCI)

33.      Sheng-Mao Chang, Jung-Ying Tzeng and Ray-Bing Chen* (2017). Fast Bayesian Variable Screenings for Binary Response Regressions with Small Sample Size. Journal of Statistical Computation and Simulation, 87(14), 2708-2723. (SCI)

34.      Ping-Yang Chen, Ray-Bing Chen*, Heng-Chin Tung, Weng Kee Wong (2017), Standardized Maximim D-optimal Designs for Enzyme Kinetic Inhibition Models, Chemometrics and Intelligent Laboratory Systems, 169, 79-86.

35.      Jiahong K. Chen, Ray-Bing Chen*, Akihiro Fujii, Reiji Suda and Weichung Wang (2017+). Surrogate-Assisted Tuning for Computer Experiments with Qualitative and Quantitative Parameters, Statistica Sinica, Accepted. (SCI)

36.      Ray-Bing Chen, Yi-Chi Chen*, Chi-Hsiang Chu, Kuo-Jung Lee, (2017+), On the Determinants of the 2008 Financial Crisis: A Bayesian Approach to the Selection of Groups and Variables, Studies in Nonlinear Dynamics & Econometrics, Accepted. (SCI)

37.      Ping-Yang Chen, Ray-Bing Chen*, C. Devon Lin, (2017+), Optimizing Two-level Orthogonal Arrays for Simultaneously Estimating Main Effects and Pre-specified Two-factor Interactions, Computational Statistics and Data Analysis, Accepted. (SCI)

Conference Paper:

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

3.          Yaohung M. Tsai, Ray-Bing Chen, and Weichung Wang (2012). Tuning Block Size for QR Factorization on CPU-GPU Hybrid Systems. Special Session: Auto-Tuning for Multicore and GPU (ATMG) in Conjunction with the IEEE 6th International Symposium on Embedded Multicore SoCs, Aizu-Wakamatsu, Japan.

4.          Wan-Ping Chen, Ying Nian Wu and Ray-Bing Chen (2014) Bayesian Variable Selection for Multi-responses Linear Regression. In S.-M. Cheng and M.-Y. Day (Eds.): Technologies and Applications of Artificial Intelligence, Lecture Notes in Computer Science, 8916, 74-88.

5.          Mu Yang, Ray-Bing Chen, I-Hsin Chung, Weichung Wang (2016). Particle Swarm Stepwise Algorithm (PaSS) on Multicore Hybrid CPU-GPU Clusters. 2016 IEEE International Conference on Computer and Information Technology (CIT 2016), Nadi, Fiji. 265-272.

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.          Ray-Bing Chen, Chien-Chih Huang and Weichung Wang (2015). Particle Swarm Search (PaSS) Algorithm for Variable Selection. Technique Report.

3.          Wen-Ping Chen and Ray-Bing Chen (2016). Bayesian Sparse Support Union Recovery. Submitted.

4.          Yuan-chin Ivan Chang and Ray-Bing Chen (2017). Stopping Criterion for Active Learning. Submitted.

 

Stochastic Matching Pursuit Algorithms for Bayesian Variable Selection

D-optimal Two-level Orthogonal Arrays for Simultaneously Estimating Main Effects and Pre-specified Two-factor Interactions

 

 

Teaching:

NUK:

Graduate Courses:

Regression Analysis: Fall 2003, Fall 2004, Fall 2008

Experimental Designs: Spring 2004, Spring 2005, Spring 2008

Fundamental Statistics: Fall 2005, Fall 2006

Large Sample Theory:  Fall 2005

Mathematical Statistics: Fall 2005, Fall 2006

Linear Models: Spring 2006

Statistical Computing: Spring 2006, Fall 2007, Fall 2008

Independent Component Analysis: Spring 2007

    Undergraduate Courses:

Probability and Statistics I: Fall 2003, Fall 2006, Fall 2010

Probability and Statistics II: Spring 2004, Spring 2007

Mathematical Statistics I: Fall 2004, Fall 2007 

Mathematical Statistics II: Spring 2005, Spring 2008

 

        NCKU:

      Graduate Course:

            Probability: Spring 2011

                Statistical Computing and Simulation: Spring 2011, Spring 2013, Spring 2015

                Large Sample Theory: Spring 2012

                Experimental Design: Fall 2012, Spring 2016

                Advance Inference I: Fall 2013

                Advance Inference II: Spring 2013

        Undergraduate Course:

                Experimental Designs: Fall 2011, Fall 2014

                Industrial Statistics: Fall 2011

                Statistical Simulations: Spring 2012, Fall 2016

                Calculation I: Fall 2012, Fall 2013, Fall 2014, Fall 2016

                Calculation II: Spring 2013, Spring 2014, Spring 2015

                Machine Learning: Spring 2016

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.
  51. Special Seminars on Computer Experiment, Institute of Statistical Science, Academia Sinica, Taipei, Taiwan, March 2, 2010.
  52. Workshop on Bayesian Analysis and Related Topics, Taipei, Taiwan, March 26, 2010.
  53. 2010年中華機率統計學會年會及學術研討會, Huilien, Taiwan, May 1~2, 2010.
  54. 第十九屆南區統計研討會, Tainan, Taiwan, July 6~7, 2010.
  55. Academic conference, Chinese Week, School of Business and Economics, the Humboldt-Universität zu Berlin, Berlin, Germany, July 20~23, 2010.
  56. 2010 Joint Statistical Meetings (JSM 2010), Vancouver, Canada, July 31~August 6, 2010.
  57. Department of Statistics, National Cheng Kung University, Tainan, Taiwan, March 24, 2011.
  58. NCTS Industrial Statistics Research Group Seminar, Hsinchu, Taiwan, March 25, 2011.
  59. 第二十屆南區統計研討會, Chiayi, Taiwan, June 24~25, 2011.
  60. The 19th Annual Conference on Pacific Basin Finance, Economics, Accounting, and Management, Taipei, Taiwan, July 8~9, 2011.
  61. Institute of Statistical Science, Academia Sinica, Taipei, Taiwan, September 2, 2011.
  62. Taida Institute for Mathematical Sciences(TIMS), Taipei, Taiwan, October 21, 2011
  63. Department of Mathematics, National Chung Cheng University, Chiayi, Taiwan, November 2, 2011.
  64. The SIAM Conference on Parallel Processing for Scientific Computing (PP12), Savannah, Georgia, USA, February 15~17, 2012.
  65. Institute of Statistics, National Chiao Tung University, Hsinchu, Taiwan, February 24, 2012.
  66. The SIAM Conference on Uncertainty Quantification (UQ12), Raleigh, North Carolina, USA, April 2~5, 2012.
  67. The Second International Conference on the Interface between Statistics and Engineering, Tainan, Taiwan, June 23~25, 2012.
  68. 2012 Joint Statistical Meetings (JSM 2012), San Diego, California, USA, July 28~Auguest 2, 2012.
  69. Institute of Statistical Science, Academia Sinica, Taipei, Taiwan, September 17, 2012.
  70. 中國統計學社101年統計學術研討會, Taipei, Taiwan, December 8, 2012.
  71. Department of Applied Math., National University of Kaohsiung, Kaohsiung, Taiwan, February 27, 2013.
  72. Department of Applied Math., National Dong Hwa University, Hualien, Taiwan, March 8, 2013.
  73. 2013@2HPSC, Conference on Advanced Topics and Auto Tuning in High Performance Scientific Computing, Taipei, Taiwan, March 27~29, 2013.
  74. Department of Statistics, National Chengchi University, Taipei, Taiwan, May 20, 2013.
  75. The 2013 Spring Research Conference on Statistics in Industry and Technology, Los Angeles, California, USA, June 20~22, 2013.
  76. 第二十二屆南區統計研討會, Kaohsiung, Taiwan, June 28~29, 2013.
  77. 2013 Joint Statistical Meetings (JSM 2013), Montreal, Quebec, Canada, August 3~Auguest 8, 2013.
  78. Applicable Semiparametrics, Berlin, Germany, October 10~12, 2013.
  79. Department of Applied Math., National Sun Yat-Sen University, Kaohsiung, Taiwan, October 31, 2013.
  80. 2013年中華民國數學會年會暨學術研討會, Kaohsiung, Taiwan, December 6~8, 2013.
  81. The Ninth ICSA International Conference: Challenges of Statistical Methods for Interdisciplinary Research and Big Data, Hong Kong, December 20~23, 2013
  82. Institute of Statistical Science, Academia Sinica, Taipei, Taiwan, February 10, 2014.
  83. 2014 Conference on Advanced Topics and Auto Tuning in  High Performance Scientific Computing, Taipei, Taiwan, March, 14~15, 2014.
  84. The SIAM Conference on Uncertainty Quantification (UQ14), Savannah, Georgia, USA, March 30~April 3, 2014
  85. 2014 第九屆海峽兩岸機率與統計學術研討會,Taichung, Taiwan, May 16~18, 2014.
  86. 第二十三屆南區統計研討會, Hualien, Taiwan, June 27~28, 2014.
  87. The 3rd Institute of Mathematical Statistics Asia Pacific Rim Meeting, Taipei, Taiwan. June 30~July 3, 2014.
  88. Conference on Experimental Design and Analysis (CEDA) 2014, Taipei, Taiwan, July 4~5, 2014.
  89. 2014 Joint Statistical Meetings (JSM 2014), Boston, Massachusetts, USA, August 2~Auguest 7, 2014.
  90. Graduate Institute of Statistics, National Central University, Taoyuan, Taiwan, September, 25, 2014.
  91. International Statistical Institute Regional Statistics Conference 2014, Kuala Lumpub, Malaysia, November 16~19, 2014
  92. 2015 Conference on Advanced Topics and Auto Tuning in High-Performance Scientific Computing, Taipei, Taiwan, February 27~28, 2015.
  93. 29th IEEE International Parallel & Distributed Processing Symposium, Hyderabad, India. May 25~29, 2015.
  94. 第二十四屆南區統計研討會, Kaohsiung, Taiwan, June 27~28, 2015.
  95. 2015 IMS-China, Kunming, China, July 1~4, 2015.
  96. H. Milton Stewart School of Industrial & Systems Engineering (ISYE) Georgia Tech, Sept 3, 2015.
  97. Department of Statistics, Univ. of Florida, Sept 24, 2015
  98. Department of Statistic & Biostatistics, Rutgers University, October 14, 2015.
  99. Center for Quantitative Sciences, School of Medicine, Vanderbilt University, November 12, 2015.
  100. Department of Statistics, Penn State Univ., December 3, 2015.
  101. School of Mathematical and Statistical Sciences, Arizona State Univ., January 15, 2016.
  102. Department of Biostatistics, UCLA, January 27, 2016.
  103. 2016 Conference on Advanced Topics and Auto Tuning in High Performance Scientific Computing, Taipei, Taiwan, February 19~20, 2016.
  104. The SIAM Conference on Uncertainty Quantification. Lausanne, Switzerland, April 5~8, 2016.
  105. Institute of Statistics, National University of Kaohsiung, Kaohsiung, Taiwan, April 13, 2016.
  106. Center for Quantitative Sciences, School of Medicine, Vanderbilt University, Nashville, Tennessee, USA, May 5, 2016.
  107. International Conference on Design of Experiments, Memphis, Tennessee, USA, May 10~13, 2016.
  108. The 4th TWSIAM Annual Meeting, Taichung, Taiwan, May 28~29, 2016.
  109. Institute of Statistical Science, Academia Sinica, Taipei, Taiwan, June 13, 2016.
  110. 实验设计与不确定性量化研究中心第二届学术研讨会, Beijing, China, June 21, 2016.
  111. 2016 Joint Statistical Meetings (JSM 2016), Chicago, Illinois, USA, July 30~Auguest 4, 2016.
  112. 2016年度統計関連学会連合大会, Kanazawa, Japan, September 4~7, 2016.
  113. Department of Statistics and Applied Probability, National University of Singapore, Singapore, September 14, 2016.
  114. IASC-ARS Interim Conference, Daejeon, Korea, November 4~5, 2016.
  115. 2016 The Annual Meeting of the Chinese Statistical Association, Taipei, Taiwan, December 9~10, 2016.
  116. 2016 Annual Meeting of Mathematics Society of R.O.C., Hualien, Taiwan, December 10~11, 2016.
  117. The Conference on Experimental Design and Analysis 2016, Taipei, Taiwan, December 15~17, 2016.
  118. The First Eastern Asia Meeting on Bayesian Statistics, Shanghai, China, December 18, 2016.
  119. The 10th ICSA International Conference, Shanghai, China, December 19~22, 2016.
  120. Institute of Statistical Science, Academia Sinica, Taipei, Taiwan, February 15, 2017.
  121. 2017 Conference on Advanced Topics and Auto Tuning in High Performance Scientific Computing, Taipei, Taiwan, March 10~11, 2017.
  122. Statistical Perspective of Uncertainty Quantification 2017, Atlanta, Georgia, USA, May 29~30, 2017.
  123. The 1st International Conference on Econometrics and Statistics (EcoSta 2017), Hong Kong. June 15~17, 2017.
  124. The 26th South Taiwan Statistics Conference, Taipei, Taiwan, June 23~24, 2017.
  125. 2017 Workshop on ``New Developments in Business Analytics or Big Data’’, Taichung, Taiwan, August 3~4, 2017
  126. Conference of the International Federation of Classification Societies, Tokyo, Japan, August 8~10, 2017.
  127. Second International Workshop on Deepening Performance Models for Automatic Tuning (DPMAT), Nagoya, Japan, August 28~31, 2017.

 

 

Membership:

American Statistical Association, 中華機率統, ISI

Student:

        Ph. D. Students (NUK):

       100: 朱基祥

 

        Master Students (NUK):

94:

            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:

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

          李昆育: Optimal Minimax Designs for Three Different Criteria

96:

           賴德: Variable Selection via MCMC Matching Pursuit 

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

           黃音: A Study on Minimal-point Composite Designs

97:

           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:

          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:

          翁建中: Factor Screening in Supersaturated Designs via a Bayesian Variable Selection Method

          洪義忠: A Study on Optimal Star Points Based on a Locally Optimal Criterion

         蔡雨潔: An Efficient Stochastic Matching Pursuit Algorithm and its Application

100:

        鄭榮憲: A Contour Estimation Procedure with Dynamic Response Evaluations

 

Master Students (NCKU):

101:

         呂宗蔚: 存活函數之三邊假設檢定(與馬嘉老師共同指導)

102:

: A Study of Optimal Designs for Michaelis-Menten Model and Related Models

 

103

陳慶全: A Classification Approach Based on Density Ratio Estimation with Subspace Projection

陳新杰: Performance Tuning of Next-generation Sequencing Assembly via Gaussian Process Model with Branching and Nested Factors.

 

104

吳柏言: Some Learning Procedures for Binary and Multiple Classification Problems

李瑞彬: Optimal Model Discrimination Designs by Discrete Particle Swarm Optimization

陳昱熙: Non-symmetric A-optimal Designs for Generalized Linear Models