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DR. YUEXIAO DONG Department of Statistics Fox School of Business Temple University 1810 N. 13th Street Philadelphia, PA 19122 Phone: (1-)215-204-0670 Email: [email protected] http://astro.temple.edu/ ydong/index.html Employment¦ Assistant Professor (Tenure Track) in Department of Statistics, Fox School of Business, Temple University, July 2009 - Present. Education ¦ Ph.D. in Statistics (2004-2009), Pennsylvania State University. Ph.D Dissertation: Dimension Reduction for Non-Elliptically Distributed Predictors. ¦ B.S. in Mathematics (2000-2004), Tsinghua University, Beijing, P. R. China. Grants ¦ National Science Foundation (NSF) New Developments in Sufficient Dimension Reduction. DMS-1106577. Sole Investigator: September 2011-August 2014. ($100,000) Status: Awarded. ¦ Institute for Business and Information Technology (IBIT) Big Data Grant Towards Understanding the Dimension Reduction Methodologies and Organizational Capabilities Required for Competing in the Big Data Era. Lead Investigator: Yuexiao Dong. ($2500) Status: Awarded. ¦ Young Researcher Scholars Seed Fund Further Investigation into Customer Focus and its Consequences in a Business Marketing Context. Principal Investigator: Neeraj Bharadwaj. ($500) Status: Awarded. Open Evaluation for Open Innovation: Collective Intelligence Aggregated with Prediction Market. Principal Investigator: Pei-Yu Chen. ($500) Status: Awarded. Papers & ¦ Refereed Journal Publications Manuscripts 1. Dong, Y., and Zhu, L. P. Direction Estimation in Single-Index Model with Missing Values. Statistics and Its Interface, forthcoming. 2. Zhu, L. P., Dong, Y., and Li, R. (2013) Semi-Parametric Estimation of Conditional Heteroscedasticity via Single-Index Modeling. Statistica Sinica 23(3). 3. Yu, Z., Dong, Y., and Guo, R. (2013) On Determining the Structural Dimension via Directional Regression. Statistics and Probability Letters 83, 987–992. 4. Dong, Y., Yu, Z., and Sun, Y. (2013) A Note on Robust Kernel Inverse Regression. Statistics and Its Interface, 6(1), 45–52. 5. Dong, Y., and Yu, Z. (2012) Dimension Reduction for the Conditional K-th Moment via Central Solution Space. Journal of Multivariate Analysis 112, 207–218. 6. Dong, Y., and Zhu, L. P. (2011) A Note on Sliced Inverse Regression with Missing Predictors. Statistical Analysis and Data Mining 5, 128–138. 7. Dong, Y., and Li, B. (2010) Dimension Reduction for Non-Elliptically Distributed Predictors: Second-Order Methods. Biometrika 97(2), 279–294. 8. Dong, Y., and Zhu, L. P. (2010) Discussion of “Envelope Models for Parsimonious and Efficient Multivariate Linear Regression”. Statistica Sinica 20(3), 993–995. DR. YUEXIAO DONG 9. 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(5), 544–552. 10. Li, B., and Dong, Y. (2009) Dimension Reduction for Non-Elliptically Distributed Predictors. Annals of Statistics 37, 1272–1298. ¦ Inter-Disciplinary Research 11. Bharadwaj, N., and Dong, Y. Towards further understanding the market sensing capability-value creation relationship. Journal of Product Innovation Management, forthcoming. ¦ Journal Publications Under Review 12. Yu, Z., Dong, Y., and Huang, M. General Directional Regression. Status: under review at Journal of Multivariate Analysis. 13. Dong, Y., Yu, Z., and Zhu, L. P. Robust Inverse Regression for Dimension Reduction. Status: under review at Statistica Sinica. ¦ Manuscripts In Preparation 14. Dong, Y., Yu, Z., and Li, X. Regression analysis under Link Violation with Discrete Predictors. 15. Bharadwaj, N., Dong, Y., and Naik, P. Sparse Constrained Inverse Regression for Big Data Analytics. ¦ Non-Refereed Proceeding Publications Dong, Y. and Yu, Z. (2010) Estimating the Central Kth Moment Space via an Extension of Ordinary Least Squares. 2010 JSM Proceedings. Li, B., and Dong, Y. (2009) Central solution space for dimension reduction. 2009 JSM Proceedings. ¦ Monograph Sufficient Dimension Reduction for the Conditional K-th Moment: A New Approach through Central Solution Space. Dong, Y. (2009) VDM Verlag. ISBN-13: 9783639220827. Conference ¦ Presentations At Professional Conferences and Meetings & Presen¦ July, 2013. IMS-SWUFE International Conference on Statistics and Probability, Chengdu, tations China. General Directional Regression. ¦ February, 2013. Winter Marketing Educators’ Conference, Las Vegas, Nevada. Structured Dimension Reduction for Marketing with Big Data. ¦ August, 2012. Joint Statistical Meetings, San Diego, California. Sufficient Dimension Reduction in Data-Rich Marketing Research. ¦ May, 2012. “Big Data” Symposium, Institute for Business & Information Technology (IBIT) at the Fox School, Temple University. In Search of What Counts in Big Datasets. ¦ December, 2011. Workshop on Information Systems Economics (WISE), Shanghai, P. R. China. Open Evaluation for Open Innovation: Collective Intelligence Aggregated by Prediction Market Mechanism. Presented by Yang Yang, a Ph.D. student from Management Information Systems. ¦ November, 2011. INFORMS Annual Meeting, Charlotte, North Carolina. Robustified Inverse Regression. ¦ August, 2011. Joint Statistical Meetings, Miami, Florida. Applying new developments in dimension reduction techniques in statistics to data-rich marketing research. DR. YUEXIAO DONG ¦ July, 2011. IMS-China International Conference on Statistics and Probability, Xi’an, P. R. China. Robustified inverse regression. ¦ June, 2011. ICSA 2011 Applied Statistics Symposium, New York City. A note on sliced inverse regression with missing predictors. ¦ December, 2010. International Workshop on Emerging Issues and Challenges to Statistics, Xiamen, P. R. China. An iterative algorithm for dimension reduction with nonelliptically distributed predictors. ¦ August, 2010. Joint Statistical Meetings, Vancouver, Canada. An iterative algorithm for dimension reduction. ¦ July, 2010. The Thirteenth Meeting of New Researchers in Statistics and Probability, Vancouver, Canada. An iterative algorithm for dimension reduction. ¦ May, 2010. Conference on Nonparametric Statistics and Statistical Learning, Ohio State University, Columbus. Dimension reduction for the conditional K-th moment via central solution space. ¦ March, 2010. Eastern North American Region/International Biometric Society Meeting, New Orleans. Dimension reduction for the conditional K-th moment via central solution space. ¦ August, 2009. Joint Statistical Meetings, Washington D.C. Central solution space for dimension reduction. ¦ March, 2009. Eastern North American Region/International Biometric Society Meeting, San Antonio. Central solution space for dimension reduction. ¦ Presentations At Departmental Colloquia ¦ April, 2013. Department of Statistics, University of Illinois at Urbana-Champaign, IL. General Directional Regression. ¦ October, 2012. Department of Mathematics and Statistics, University of Maryland Baltimore County, Baltimore, MD. Directional Regression Revisited. ¦ October, 2012. Division of Biostatistics, Thomas Jefferson University, Philadelphia, PA. A Review of Sliced Inverse Regression and Its Variations. ¦ September, 2012. Department of Management Science, University of Miami, Coral Gables, FL. Directional Regression Revisited. ¦ April, 2012. Department of Statistics, George Mason University, Fairfax, VA. Directional Regression Revisited. ¦ December, 2011. Department of Mathematical Sciences, Michigan Technological University, Houghton, MI. Robustified Inverse Regression. ¦ July, 2011. School of Finance and Statistics, East China Normal University, Shanghai, P. R. China. New developments in sufficient dimension reduction. ¦ January, 2009. Department of Statistics, Temple University, Philadelphia, PA. Dimension reduction for non-elliptically distributed predictors. ¦ December, 2008. Department of Mathematics, University of New Orleans, New Orleans, LA. Dimension reduction for non-elliptically distributed predictors. ¦ Temple University, August 2009-Present. Teaching Experience Undergraduate Courses Taught: Stat 2522, Survey Design & Sampling, Spring 2013, CATE Q8 score: 4.8/5.0 Stat 3503, Linear Regression & Time Series, Spring 2013, CATE Q8 score: 4.8/5.0 Stat 2521, Data Analysis & Statistical Computation, Fall 2012, CATE Q8 score: 4.5/5.0 Stat 3503, Linear Regression & Time Series, Spring 2012, CATE Q8 score: 4.8/5.0 DR. YUEXIAO DONG Stat 2512, Intermediate Business 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, Linear Regression & Time Series, 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 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: Math Bootcamp for incoming Ph.D. Students, Summer 2012. Math Bootcamp for incoming Ph.D. Students, Summer 2010. SAS Workshop for incoming Ph.D. Students, Spring/Summer 2010. ¦ Pennsylvania State University, January 2008-May 2008. Courses Taught: Elementary Probability; Mathematical Statistics. Dissertation¦ Ibrahim Turkoz, Ph.D. (graduated in Summer 2013) Application of Bayesian Analysis in Committees Time to Event Data in Clinical Trials. Committee member, September 2010 to May 2013. ¦ Alicia Strandberg, Ph.D. (graduated in Summer 2012) A Nonparametric Test for Deviation from Randomness with Applications to Stock Markdet Index Data. Committee member, August 2010 to August 2012. ¦ Bhramori Banerjee, Ph.D. (graduated in Fall 2011) Multiple Testing in the Presence of Correlations. Committee member, July 2010 to December 2011. ¦ Li He, Ph.D. (graduated in Summer 2011) Incorporating Correlations to Improve Multiple Testing Procedures Controlling False Discoveries. Committee member, January 2010 to May 2011. ¦ Shuo Zheng, Ph.D. (graduated in Spring 2011) New Hierarchical Nonlinear Modeling for Count Data: Estimation and Testing in the Presence of Overdispersion. Committee member, November 2009 to May 2011. ¦ Yang Yang, Department of Management Information Systems, Ph.D. (graduated in Fall 2011), Open Innovation Contests in Online Markets: Idea Generation and Idea Evaluation with Collective Intelligence. Committee member, September 2010 to December 2011. ¦ Siwei Gao, Ph.D. candidate, Department of Risk Management and Insurance. Outside reviewer. Thesis ¦ Yizhi Sun, Bachelor of Statistics (graduated in Summer 2010). Robust Sliced Inverse Committees Regression. Committee chair, January 2010 to May 2010. ¦ Xiaoran Zhang, Bachelor of Accounting (graduated in Summer 2010). An Attempt to Estimate Life Expectancy in Life Tables. Committee member, January 2010 to May 2010. Services ¦ Department Service 1. Graduate Affairs Committee, Fall 2009-Present; DR. YUEXIAO DONG 2. Department Seminar Organizer, Fall 2011-Spring 2012; 3. Search Committee, Fall 2010-Spring 2012; 4. Personnel Committee, Fall 2009, Fall 2010, Fall 2012. ¦ School Service 1. Center for Statistical Analysis Executive Committee, Fall 2011-Present; 2. Doctoral Program Committee, Fall 2010-Present; 3. Master Program Committee, Spring 2013-Present; 4. MBA/MS Planning Committee, Fall 2011-Spring 2012; 5. Merit Committee, Fall 2010, Fall 2011. ¦ Profession Service Reviewer for a total of 20 journals: Annals of Statistics (JVC A), Journal of the American Statistical Association (JVC A), Journal of Multivariate Analysis (JVC A-), Computational Statistics and Data Analysis (JVC A-), Journal of Machine Learning Research, Statistica Sinica, Sankhya, Science China Mathematics, Statistics in Biopharmaceutical Research, Statistics and Probability Letters, Statistics and Its Interface, Communications in Statistics, Statistical Analysis and Data Mining, Journal of Nonparametric Statistics, Journal of Statistical Computation and Simulation, Statistical Methodology, Survey Methodology, Wiley Interdisciplinary Reviews: Computational Statistics, Astrophysical Journal, Journal of Economics and Business. Organizer of a special session for Winter Marketing Educators’ Conference 2013, American Marketing Association. Big Data Analysis: Exploring Methodological Advances at the Statistics-Marketing Interface. Co-organizer, Bharadwaj, N. Honors & 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, 20042005. Membership ¦ Institute of Mathematical Statistics. ¦ American Statistical Association. ¦ International Chinese Statistical Association. Industry ¦ Research Intern at Lubrizol, Statistics & Intelligent Systems Group, Summer 2007. Working ¦ Research Intern at FDA, Division of Biometrics I of CDER, Summer 2006. Experience Student Consultant at Statistical Consulting Center, Pennsylvania State University, 2005.