Resources+
Here you’ll find a curated collection of what I’m currently reading, along with all-time favorites that reflect my research and teaching interests. I’ve also included links to some of my favorite statistical communities—great places to learn, connect, and get involved.
Papers
Heaton, M.J., Datta, A., Finley, A.O. et al. A Case Study Competition Among Methods for Analyzing Large Spatial Data. JABES 24, 398–425 (2019). https://doi.org/10.1007/s13253-018-00348-w
Dacia, Sheffield L.; Brooks, Sierra; Conway, Basil M.; and Nguyen, Ha (2021) “Teaching Statistics for Social Justice - An Autoethnographic Research Report,” Georgia Educational Researcher 18:1, Article 3. Link
Zhang, I. (Yunyi), Jia, Y. (Ruby), Cheng, X. (Alicia), Son, J. Y., & Stigler, J. W. (2025). Empowering Novice Programmers: Redesigning Documentation for Effective Informal Learning. Journal of Educational Computing Research, 63(3), 695-727. https://doi.org/10.1177/07356331241311505 (Original work published 2025)
Books
The THEORY Book - Casella and Berger’s Statistical Inference
Wood, S.N. (2017). Generalized Additive Models: An Introduction with R, Second Edition (2nd ed.). Chapman and Hall/CRC. https://doi.org/10.1201/9781315370279
Hierarchical Modeling and Analysis for Spatial Data By Sudipto Banerjee, Bradley P. Carlin, Alan E. Gelfand
Web Pages
Ways to get Involved!
Justice, Equity, Diversity, and Inclusion (JEDI) Pedagogy and Research for the Statistical Community