YUEXIAO DONG, Ph.D. Department of Statistics Telephone:

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1 YUEXIAO DONG, Ph.D. Department of Statistics Telephone: Temple University N. 13th Street Philadelphia, PA EMPLOYMENT Assistant Professor (Tenure Track) in Department of Statistics, Fox School of Business, Temple University, July Present EDUCATION Ph.D. in Statistics ( ), Pennsylvania State University B.S. in Mathematics ( ), Tsinghua University, Beijing, P. R. China GRANTS National Science Foundation (NSF). DMS (PI, Yuexiao Dong). Status: completed Title: New developments in sufficient dimension reduction. 09/01/ /31/2014 ($99,999) Role: PI (Sole Investigator) Institute for Business and Information Technology (IBIT) Big Data Grant at Fox School of Business, Temple University. (PI, Yuexiao Dong) Status: completed Title: Towards understanding the dimension reduction methodologies and organizational capabilities required for competing in the big data era. 01/01/ /31/2013 ($2,500) Role: PI (Co-PI, Neeraj Bharadwaj) Young Researcher Scholars Seed Fund at Fox School of Business, Temple University (PI, Neeraj Bharadwaj). Status: completed Title: Further investigation into customer focus and its consequences in a business marketing context. 01/01/ /31/2011 ($500) Role: Co-PI Young Researcher Scholars Seed Fund at Fox School of Business, Temple University (PI: Pei-Yu Chen). Status: completed Title: Open evaluation for open innovation: collective intelligence aggregated with prediction market. 01/01/ /31/2010 ($500) Role: Co-PI PUBLICATIONS Referred Journal Publications 1. Yu, Z., Dong, Y. and Zhu, L. X. "Trace pursuit: a general framework for model-free variable selection." Journal of the American Statistical Association. Accepted. 2. Dong, Y. "A note on moment-based sufficient dimension reduction estimators." Statistics and Its Interface. Accepted. 3. Dong, Y., Yu, Z. and Zhu, L. P. (2015). "Robust inverse regression for dimension reduction." Journal of Multivariate Analysis, 134, Yu, Z., Dong, Y. and Huang, M. (2014). "General directional regression." Journal of Multivariate Analysis, 124,

2 5. Bharadwaj, N. and Dong, Y. (2014). "Towards further understanding the market sensing capability-value creation relationship." Journal of Product Innovation Management, 31, Zhu, L. P., Dong, Y. and Li, R. (2013). "Semiparametric estimation of conditional heteroscedasticity via single-index modeling." Statistica Sinica, 23, Dong, Y. and Zhu, L. P. (2013). "Direction estimation in single-index model with missing values." Statistics and Its Interface, 6, Yu, Z., Dong, Y. and Guo, R. (2013). "On determining the structural dimension via directional regression." Statistics & Probability Letters, 83, Dong, Y., Yu, Z. and Sun, Y. (2013). "A note on robust kernel inverse regression." Statistics and Its Interface, 6(1), Dong, Y. and Yu, Z. (2012). "Dimension reduction for the conditional kth moment via central solution space." Journal of Multivariate Analysis, 112, Dong, Y. and Zhu, L. P. (2012). "A note on sliced inverse regression with missing predictors." Statistical Analysis and Data Mining, 5, Dong, Y. and Li, B. (2010). "Dimension reduction for non-elliptically distributed predictors: second-order methods." Biometrika, 97, Yu, Z., Dong, Y. and Fang, Y. (2010). "Marginal coordinate tests for central mean subspace with principal Hessian directions." Chinese Journal of Applied Probability and Statistics, 26, Dong, Y. and Zhu, L. P. (2010). Comment on "Envelope models for parsimonious and efficient multivariate linear regression". Statistica Sinica, 20, Li, B. and Dong, Y. (2009). "Dimension reduction for non-elliptically distributed Predictors." The Annals of Statistics, 37, Papers Under Review 16. Artemiou, A. and Dong, Y. "Sufficient dimension reduction via principal Lq support vector machine." 17. Bharadwaj, N., Dong, Y. and Naik, P. "Sparse constrained inverse regression for big data analytics." 18. Dong, Y., Kai, B. and Yu, Z. "Dimension reduction via local rank regression." 19. Dong, Y. and Yang, C. "Cluster-based least absolute deviation regression for dimension reduction." 20. Dong, Y. and Yu, Z. "Direction estimation in a general regression model with discrete predictors." 21. Dong, Y., Yu, Z. and Yang, C. "On permutation tests for predictor contribution in sufficient dimension reduction." 22. Dong, Y., Yu, Z. and Zhu, L. P. "Model-free variable selection for conditional mean in regression." 23. Yu, Z. and Dong, Y. "Model-free coordinate test and variable selection via directional regression." 24. Yu, Z., Dong, Y. and Shao, J. "On marginal sliced inverse regression for ultrahigh dimensional feature selection." Non-Referred Conference Proceedings 25. Dong, Y. and Yu, Z. (2010). "Estimating the central kth moment space via an extension of ordinary least squares." 2010 JSM Proceedings. 26. Li, B. and Dong, Y. (2009). "Central solution space for dimension reduction." 2009 JSM Proceedings. Unpublished Workshop Papers 27. Yang, Y., Chen, P.-Y. and Dong, Y. (2011) "Open evaluation for open innovation: collective intelligence aggregated by prediction market mechanism." Workshop on Information Systems Economics (WISE), Shanghai, China. 2

3 Monograph 28. Dong, Y. (2009). "Sufficient dimension reduction for the conditional kth moment: a new approach through central solution space." VDM Verlag. ISBN-13: CONFERENCES & PRESENTATIONS Presentations at Professional Conferences and Meetings October, International Conference on Advances in Interdisciplinary Statistics and Combinatorics, AISC 2014, Greensboro, NC. Title: Sufficient dimension reduction with multivariate response. August, Joint Statistical Meetings, Boston, MA. Title: Sufficient dimension reduction via principal Lq support vector machine. June, Joint Applied Statistics Symposium of International Chinese Statistical Association and Korean International Statistical Society, Portland, Oregon. Title: Sufficient dimension reduction via principal Lq support vector machine. June, International Symposium on Business and Industrial Statistics/Conference of ASA Section on Statistical Learning and Data Mining, Durham, NC. Title: Model-free variable selection. December, The 9th ICSA International Conference: Challenges of Statistical Methods for Interdisciplinary Research and Big Data, Hong Kong. Title: Trace pursuit: a general framework for model-free variable selection. July, IMS China, Chengdu, P. R. China. Title: General directional regression. February, Winter Marketing Educators Conference, Las Vegas, Nevada. Title: Structured dimension reduction for marketing with big data. August, Joint Statistical Meetings, San Diego, California. Title: Kernel dimension reduction in data-rich marketing research. May, Big Data Symposium, Institute for Business & Information Technology (IBIT) at the Fox School of Business, Temple University. Title: In search of what counts in big datasets. December, Workshop on Information Systems Economics (WISE), Shanghai, P. R. China. Title: Open evaluation for open innovation: collective intelligence aggregated by prediction market mechanism. November, INFORMS Annual Meeting, Charlotte, North Carolina. 3

4 Title: Robustified inverse regression. August, Joint Statistical Meetings, Miami, Florida. Title: Applying new developments in dimension reduction techniques in statistics to data-rich marketing research. July, IMS-China International Conference on Statistics and Probability, Xi an, P. R. China. Title: A note on robust sufficient dimension reduction. June, ICSA 2011 Applied Statistics Symposium, New York City. Title: A note on sliced inverse regression with missing predictors. December, International Workshop on Emerging Issues and Challenges to Statistics, Xiamen, P. R. China. Title: An iterative algorithm for dimension reduction with non-elliptically distributed predictors. August, Joint Statistical Meetings, Vancouver, Canada. Title: Estimating the central kth moment space via an extension of ordinary least squares. July, The Thirteenth Meeting of New Researchers in Statistics and Probability, Vancouver, Canada. Title: An iterative algorithm for dimension reduction with non-elliptically distributed predictors. May, Conference on Nonparametric Statistics and Statistical Learning, Ohio State University, Columbus. Title: Nonlinear inverse dimension reduction methods. March, Eastern North American Region/International Biometric Society Meeting, New Orleans. Title: Dimension reduction for the conditional kth moment via central solution space. August, Joint Statistical Meetings, Washington D.C. Title: Central solution space for dimension reduction. March, Eastern North American Region/International Biometric Society Meeting, San Antonio. Title: Dimension reduction for non-elliptically distributed predictors: second-order methods. Presentations at Department Colloquia October, Department of Business Analytics & Statistics, University of Tennessee, Knoxville, TN. Title: A review on sufficient dimension reduction. February, Department of Statistics, Kansas State University, KS. Title: Model-free variable selection. April, Department of Statistics, University of Illinois at Urbana-Champaign, IL. Title: General directional regression. October, Department of Mathematics and Statistics, University of Maryland Baltimore County, Baltimore, MD. 4

5 Title: Directional regression revisited. October, Division of Biostatistics, Thomas Jefferson University, Philadelphia, PA. Title: A review of sliced inverse regression and its variations. September, Department of Management Science, University of Miami, Coral Gables, FL. Title: Directional regression revisited. April, Department of Statistics, George Mason University, Fairfax, VA. Title: Directional regression revisited. December, Department of Mathematical Sciences, Michigan Technological University, Houghton, MI. Title: Robustified inverse regression. July, School of Finance and Statistics, East China Normal University, Shanghai, P. R. China. Title: New developments in sufficient dimension reduction. January, Department of Statistics, Temple University, Philadelphia, PA. Title: Dimension reduction for non-elliptically distributed predictors. December, Department of Mathematics, University of New Orleans, New Orleans, LA. Title: Dimension reduction for non-elliptically distributed predictors. DISSERTATION & THESIS COMMITTEES Ph.D. Dissertation Committee Chair Chaozheng Yang, Ph.D. candidate, expected graduation in Spring 2016 Title: Some new developments in sufficient dimension reduction. Angela Minster, Ph.D. candidate, expected graduation in Fall 2015 Title: Model-free variable selection and interaction detection. Ph.D. Dissertation Committee Member Andrew Gehman, Ph.D. candidate, Chaired by Dr. William Wei, expected graduation in Spring 2016 Title: The effects of spatial aggregation on spatial time series models. Hang Kim, Ph.D. candidate, Chaired by Dr. William Wei, expected graduation in Spring 2016 Title: New methods to test random walk in financial market. Elizabeth Gilbert, Ph.D. candidate, Chaired by Dr. Brian Egleston and Dr. Robert Krafty, expected graduation in Fall 2015 Title: The validity of summary comorbidity measures. Ke Huang, Ph.D. candidate, Chaired by Dr. Pallavi Chitturi, expected graduation in Fall 2015 Title: Optimal reduced size choice sets with overlapping attributes. 5

6 Yihuan Xu, Ph.D., Chaired by Dr. Boris Iglewicz, graduated in Summer 2014 Title: Robust estimation of the parameters of g-and-h distributions, with applications to outlier detection. Yu-Wei Chang, Ph.D., Chaired by Dr. Zhigen Zhao, graduated in Summer 2014 Title: Sample size determination for a three-arm biosimilar trial. Ibrahim Turkoz, Ph.D., Chaired by Dr. Marc Sobel, graduated in Fall 2013 Title: Application of Bayesian analysis in time to event data in clinical trials. Siwei Gao, Ph.D. of Risk Management and Insurance, Chaired by Dr. Michael Powers, graduated in Fall 2013 Title: Incentive contracting with an independent underwriter: does it benefit insurers? Alicia Strandberg, Ph.D., Chaired by Dr. Boris Iglewicz, graduated in Summer 2012 Title: A nonparametric test for deviation from randomness with applications to stock market index data. Bhramori Banerjee, Ph.D., Chaired by Dr. Sanat Sarkar, graduated in Fall 2011 Title: Multiple Testing in the Presence of Correlations. Li He, Ph.D., Chaired by Dr. Sanat Sarkar, graduated in Summer 2011 Title: Incorporating correlations to improve multiple testing procedures controlling false discoveries. Shuo Zheng, Ph.D., Chaired by Dr. Richard M. Heiberger, graduated in Spring 2011 Title: New hierarchical nonlinear modeling for count data: estimation and testing in the presence of overdispersion. Yang Yang, Ph.D. of Management Information Systems, Chaired by Dr. Pei-Yu Chen, graduated in Fall 2011 Title: Open innovation contests in online markets: idea generation and idea evaluation with collective intelligence. Master Thesis Committee Chair Yizhi Sun, Master of Statistics, graduated in Summer 2010 Title: Robust kernel inverse regression. Bachelor Thesis Committee Member Xiaoran Zhang, Bachelor of Accounting, graduated in Summer 2010 Title: An attempt to estimate life expectancy in life tables. TEACHING EXPERIENCES Temple University, Fall 2009 to Present Course and Teaching Evaluations (CATE) Q8 is "The instructor taught this course well'' Undergraduate Courses Taught Stat 3503, Intermediate Business Statistics, Spring 2015, CATE Q8 score: 4.7/5.0 Stat 2521, Data Analysis & Statistical Computation, Fall 2014, CATE Q8 score: 4.2/5.0 Stat 2521, Data Analysis & Statistical Computation, Fall 2013, CATE Q8 score: 4.8/5.0 Stat 3503, Intermediate Business Statistics, Spring 2013, CATE Q8 score: 4.8/5.0 Stat 2522, Survey Design & Sampling, Spring 2013, CATE Q8 score: 4.8/5.0 6

7 Stat 2521, Data Analysis & Statistical Computation, Fall 2012, CATE Q8 score: 4.5/5.0 Stat 3503, Intermediate Business Statistics, Spring 2012, CATE Q8 score: 4.8/5.0 Stat 2512, Intermediate Statistics, Fall 2011, CATE Q8 score: 5.0/5.0 Stat 2103, Business Statistics, Spring 2011, CATE Q8 score: 3.6/5.0 Stat 3503, Intermediate Business Statistics, Spring 2010, CATE Q8 score: 4.4/5.0 Stat 2102, Selected Topics in Statistics, Fall 2009, CATE Q8 score: 4.3/5.0 Graduate Courses Taught Stat 8109, Linear Regression & Time Series, Spring 2015, CATE Q8 score: 4.7/5.0 Stat 8108, Applied Multivariate Analysis, Fall 2014, CATE Q8 score: 4.4/5.0 Stat 8108, Applied Multivariate Analysis, Fall 2013, CATE Q8 score: 4.8/5.0 Stat 8109, Linear Regression & Time Series, Spring 2013, CATE Q8 score: 4.8/5.0 Stat 8108, Applied Multivariate Analysis, Fall 2012, CATE Q8 score: 4.6/5.0 Stat 8109, Linear Regression & Time Series, Spring 2012, CATE Q8 score: 5.0/5.0 Stat 8108, Applied Multivariate Analysis, Fall 2011, CATE Q8 score: 4.9/5.0 Stat 8002, Probability Theory II, Spring 2011, CATE Q8 score: 3.9/5.0 Stat 8108, Applied Multivariate Analysis, Fall 2010, CATE Q8 score: 4.8/5.0 Stat 8001, Probability Theory I, Fall 2010, CATE Q8 score: 3.8/5.0 Stat 8109, Linear Regression & Time Series, Spring 2010, CATE Q8 score: 5.0/5.0 Stat 8108, Applied Multivariate Analysis, Fall 2009, CATE Q8 score: 4.1/5.0 Workshop Taught Mathematics Bootcamp for Fox School of Business incoming Ph.D. Students, Summer 2015, Summer 2014, Summer 2013, Summer 2012, Summer 2010 SAS Workshop for incoming Ph.D. Students, Spring 2010, Summer 2010 SERVICES Department Services Graduate Affairs Committee, Fall 2009 to Present Department Merit Committee, Fall 2009, Fall 2010, Fall 2012, Fall 2013, Fall 2014 Personnel Committee, Fall 2009, Fall 2010, Fall 2012 Faculty Search Committee, Fall 2010 to Spring 2012 Department Seminar Organizer, Fall 2011, Spring 2012 School Services School Merit Committee, Fall 2010, Fall 2011, Fall 2014 Center for Statistical Analysis Executive Committee, Fall 2011 to Spring 2013 Doctoral Program Committee, Fall 2010 to Spring 2013 Master Program Committee, Fall 2012 to Spring 2013 MBA/MS Planning Committee, Fall 2011 to Spring 2012 Professional Services Reviewer for a total of 26 journals and 78 manuscripts (ordered from most to fewest; alphabetic order if tied): 7

8 Journal of Multivariate Analysis (11), Journal of the American Statistical Association (9), The Annals of Statistics (8), Journal of Statistical Computation and Simulation (6), Statistica Sinica (6), Computational Statistics and Data Analysis (4), Science China Mathematics (3), Statistical Analysis and Data Mining (3), Statistics and Its Interface (3), Astrophysical Journal (2), Journal of Computational and Graphical Statistics (2), Journal of Nonparametric Statistics (2), Sankhya (2), Scandinavian Journal of Statistics (2), Statistics in Biopharmaceutical Research (2), Survey Methodology (2), Wiley Interdisciplinary Reviews: Computational Statistics (2), Biometrics (1), Communications in Statistics- Theory and Methods (1), Econometrics (1), Journal of Business and Economic Statistics (1), Journal of Economics and Business (1), Journal of Machine Learning Research (1), Statistical Methodology (1), Statistics and Probability Letters (1), Technometrics (1). Organizer of a special session for Winter Marketing Educators' Conference 2013, American Marketing Association Session title: "Big data analysis: exploring methodological advances at the statistics-marketing interface." HONORS AND AWARDS Pass with distinction for Ph.D. candidacy test, Department of Statistics, Pennsylvania State University, 2006 Eberly College of Science Fellowship Award, Pennsylvania State University, INDUSTRY EXPERIENCES Research Intern at Lubrizol, Statistics & Intelligent Systems Group, Summer 2007 Research Intern at FDA, Division of Biometrics I of CDER, Summer 2006 MEMBERSHIPS Institute of Mathematical Statistics American Statistical Association International Chinese Statistical Association Passed CFA Level I 8