Contact: abray@reed.edu

github

Office: L304

Andrew Bray is an Assistant Professor of Statistics at Reed College. If you are interested in writing a thesis on statistics, please click here for a list of topic ideas.

- Introduction to Probability and Statistics (Spring 2017)
- Case Studies in Data Science: Elections (Spring 2017)
- Introduction to Probability and Statistics (Fall 2016)
- Probability (Fall 2016)
- Introduction to Probability and Statistics (Spring 2016)
- Statistical Learning (Spring 2016)
- Introduction to Probability and Statistics (Fall 2015)
- Applied Regression Methods (Fall 2014)

I am also creating a series of online intro stats courses together with DataCamp, an interactive platform to learn R and data science.

- OpenIntro: developing free and open source educational resources for statistics.
- Five College Datafest: an undergraduate team-based data analysis competition.

- Lavine M., Bray A., & Hodges J. (2015). Approximately Exact Calculations for Linear Mixed Models. Electronic Journal of Statistics, Volume 9, Number 2, 2293-2323.
- Bray A., Wong K., Barr C., & Schoenberg F.P. (2014). Using the Voronoi tessellation to calculate residuals for spatial point process models. Annals of Applied Statistics.
- Baumer B., Cetinkaya-Rundel M., Bray A., Loi L., & Horton N. (2014). Markdown: Integrating a reproducible analysis tool into introductory statistics. Technology Innovations in Statistics Education, 8(1).
- Bray A., Schoenberg F.P. (2013). Assessing point process models for earthquake forecasting. Statistical Science, 28(4), 510-520.