Xiaohui Chang

Assistant Professor of Business Analytics
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Office: 541-737-6108

Austin Hall

Austin Hall 468

2751 SW Jefferson Way

2751 SW Jefferson Way
Corvallis, OR 97331
Credentials: 
Ph.D. Statistics, University of Chicago
B.A. (Honors) Statistics and B.A. Economics, University of Chicago

Profile Field Tabs

At OSU
Affiliated with: 
College of Business
Research/Career Interests: 

machine learning; spatial statistics; location-based services; mHealth; business performance prediction. Develop novel and efficient methods for important big-data applications in business analytics, information systems, finance, and environmental science.

Her research work has been published in premier and high-impact journals, such as Journal of the American Statistical Association, Journal of Machine Learning Research, IEEE Transactions on Information Theory, Biometrics, Computational Statistics & Data Analysis, Quantitative Finance, Expert Systems with Applications, Information Technology & People. 

 

Courses Taught: 

BA 275 Foundations of Statistical Inference (formats taught: face-to-face, eCampus, honors)

BA 276 Introduction to Statistical Inference 

BA 375 Applied Quantitative Methods/Data Analytics 

BA 376 Applied Quantitative Methods

BA 555 Practical Business Analysis (MBA)

Xiaohui's email: FirstnameDotLastname at oregonstate.edu

Beyond OSU
Education: 

Ph.D. Statistics, University of Chicago

B.A. (Honors) Statistics and B.A. Economics, University of Chicago

G.C.E. Advanced Level, Raffles Junior College (n.k.a. Raffles Institution), Singapore

Employment: 

Assistant Professor of Quantitative Methods, College of Business, Oregon State University, 2014 - Present. 

Adjunct Professor of Statistics, Department of Statistics, Oregon State University, 2016 - Present. 

Professional Affiliations: 

INFORMS, American Statistical Association. 

Honors and Awards: 

Byron L. Newton Award for Excellence in Teaching, Oregon State University, 2018.

Extended Campus Research Fellow, Oregon State University, 2015 - 2017.

Newcomb Associate Award for excellence in research, Oregon State University, 2015.

Service: 

Peer Review of Teaching Committee (Member: 2016-2017, 2018-2020; Chair: 2020 - 2021)

Peer Review of Research Committee (Member: 2017-2020)

Faculty Search Committe for Supply Chain & Logistics Management, Business Analytics 

 

Additional Information: 

Professor Chang's email: FirstnameDotLastname at oregonstate.edu

Personal Links: 
Professor Chang's Personal Webpage
My Publications

Journal Articles


X. Chang and Li, J., “Business Performance Prediction in Location-based Social Commerce”, Expert Systems with Applications, 2019.

Y. Sun, Chang, X., and Guan, Y., “Flexible and efficient estimating equations for variogram estimation”, Computational Statistics and Data Analysis, vol. 122, pp. 45-58, 2018.

D. Wang, Tu, J., Chang, X., and Li, S., “The Lead-Lag Relationship between the Spot and Futures Markets in China”, Quantitative Finance, 2017.

D. Wang, Lei, M., and Chang, X., “Dynamic relation of Chinese stock price-volume pre- and post- the Split Share Structure Reform: New evidence from a two-state Markov-switching approach”, China Finance Review International, vol. 5, no. 4, pp. 386-401, 2015.

X. Chang, Waagepetersen, R., Yu, H., Ma, X., Holford, T. R., Wang, R., and Guan, Y., “Disease risk estimation by combining case-control data with aggregated information on the population at risk”, Biometrics, vol. 71, pp. 114-121, 2015.

X. Chang and Stein, M. L., “Wavelet methods in interpolation of high-frequency spatial-temporal pressure”, Spatial Statistics, vol. 8, pp. 52–68, 2014.

X. Chang and Stein, M. L., “Decorrelation Property of Discrete Wavelet Transform Under Fixed-Domain Asymptotics”, IEEE Transactions on Information Theory, vol. 59, pp. 8001-8013, 2013.

Presentations


P. - H. Hsieh, Chang, X., and Olstad, A., “Early Detection of Placement for Success in an Online Quantitative Class”, Joint Statistical Meetings. Chicago, IL, 2016.

Miscellaneous


X. Chang, “Location-based data on social commerce platforms can provide insights for business decisions”. Corvallis, OR, 2019.

Reports


P. - H. Hsieh, Chang, X., and Olstad, A., “Using a Q Matrix to Assess Students' Latent Skills in an Online Course”, 2018.