Business Analytics

Xiaohui Chang

Associate Professor of Business Analytics
xiaohui.chang@oregonstate.edu

Office: 541-737-6108

Austin Hall

Austin Hall 468

2751 SW Jefferson Way

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

Profile Field Tabs

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

Xiaohui Chang (pronounced as "Shao-Way Chung") is a Toomey Faculty Fellow and Associate Professor of Business Analytics in the College of Business, OSU. Dr. Chang earned her bachelor's degrees in Economics and Statistics (Honors) from the University of Chicago, and her Ph.D. in Statistics from the University of Chicago. She joined OSU in 2014. 

Dr. Chang's research interest includes machine learning, business analytics, spatial statistics, and spatio-temporal modeling. She is experienced in developing novel and efficient methods for important applications in business analytics, information systems, finance, and environmental science. Her research work has been published in premier and high-impact journals, such as the Journal of the American Statistical Association, Journal of Machine Learning Research, IEEE Transactions, Biometrics, Information Systems Frontier, Expert Systems with Applications, Information Technology & People, Quantitative Finance, and many others. She was awarded the Prominent Scholar Award for Excellence in Research by the College in 2020 and 2021. 

During her time at OSU, Dr. Chang has developed and delivered many business analytics and business statistics classes in a wide range of formats (in-person, online, synchronous). In her classes, Dr. Chang prioritizes student learning of relevant and applicable skills with real-life data and scenarios and adopts creative and innovative tools and results-driven techniques. She was invited by OSU Ecampus to share her tips on how to effectively engage and connect with online students: Click Here and Click Here. She was also awarded the Byron L. Newton Excellence in Undergraduate Teaching Award by the College in 2018.

Currently, Dr. Chang is also the Professional Development Coordinator of the Business Analytics program at OSU and the faculty advisor of the Business Analytics Club, a student-led group that provides a platform for students who are interested in developing their skills and fueling their passion for a data-driven career. 

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)

 

Professor Chang's YouTube Channel
Professor Chang's ResearchGate Page

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: 

Associate Professor of Business Analytics, College of Business, Oregon State University, Sep. 2020 - Present. 

Assistant Professor of Quantitative Methods, College of Business, Oregon State University, Sep. 2014 - Aug. 2020. 

Adjunct Professor of Statistics, Department of Statistics, Oregon State University, Dec. 2016 - 2020. 

Professional Affiliations: 

INFORMS, American Statistical Association. 

Honors and Awards: 

Toomey Faculty Fellow, 2021.

College of Business Prominent Scholar Award, 2021.

College of Business Prominent Scholar Award, 2020.

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: 

Graduate Program Council (Member: 2022 - Present)

Professional Development Coordinator of Business Analytics Program (2020 - Present)

OSU Business Analytics Club Faculty Advisor (2020 - Present)

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

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

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

Personal Links: 
Professor Chang's ResearchGate Page
Professor Chang's YouTube Channel
Biography

Xiaohui Chang (pronounced as "Shao-Way Chung") obtained her Ph.D. from the University of Chicago and has been with OSU since 2014.

Her research interests include machine learning, spatial statistics, mHealth, fake news, location-based services, and business performance prediction. She is interested in developing 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. 

In her spare time, she enjoys outdoor activities, staying healthy and active, learning and discussing issues related to business and education. 

My Publications

Journal Articles


J. Li and Chang, X., “Combating False Information by Sharing the Truth: A Study on the Spread of Fact-checks on Social Media”, Information Systems Frontiers, 2022.

D. Liang, Zhang, H., Chang, X., and Huang, H., “Modeling and Regionalization of China's PM2.5 Using Spatial-Functional Mixture Models”, Journal of the American Statistical Association, vol. 116, no. 553, pp. 116–132, 2020.

J. Li and Chang, X., “Improving Mobile Health Apps Usage: A Quantitative Study on mPower Data of Parkinson’s Disease”, Information Technology and People, vol. 34, no. 1, pp. 399–420, 2020.

D. Wang, Xin, Y., Chang, X., and Su, X., “Realized Volatility Forecasting and Volatility Spillovers: Evidence from Chinese Non-Ferrous Metals Futures”, International Journal of Finance and Economics, vol. 26, no. 2, pp. 2713–2731, 2020.

M. Elman, Minnier, J., Chang, X., and Choi, D., “Noise Accumulation in High Dimensional Classification and Total Signal Index”, Journal of Machine Learning Research, vol. 21, no. 36, pp. 1-23, 2020.

X. Chang and Li, J., “Business Performance Prediction in Location-based Social Commerce”, Expert Systems with Applications, vol. 126, pp. 112-123, 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, vol. 17, no. 9, pp. 1447–1456, 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.

Newspaper Article


X. Chang, “Improving Student Engagement and Connection in Online Learning: Part II, Methodologies and Practices”, 2022.

X. Chang, “Improving Student Engagement and Connection in Online Learning through Proactive Support”, 2021.

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.