Adam Loy

Education & Professional History

Luther College, BA; Iowa State University, MS, PhD

At Carleton since 2017.

Highlights & Recent Activity

Maurer, K., Osthus, D., and Loy, A. (2019). A Tale of Four Cities: Exploring the Soul of State College, Detroit, Milledgeville, and Biloxi. Computational Statistics 34(4), 1465–1487.

Loy, A., Kuiper, S., and Chihara, L. (2019). Supporting Data Science in the Statistics Curriculum. Journal of Statistics Education 27(1), 2-11.

Almeida, A., Loy, A., and Hofmann, H. (2018). ggplot2 Compatible Quantile-Quantile Plots in R. The R Journal 10(2), 248-261.

Loy, A., Hofmann, H., and Cook, D. (2017). Model Choice and Diagnostics for Linear Mixed-Effects Models Using Statistics on Street Corners. Journal of Computational and Graphical Statistics 26(3), 478–492.

If you’re having trouble accessing any of my papers, see my website for links to preprints: https://aloy.rbind.io/publication/

Organizations & Scholarly Affiliations

American Statistical Association

Current Courses

Fall 2021
STAT 220: Introduction to Data Science
STAT 340: Bayesian Statistics
STAT 400: Integrative Exercise
Winter 2022
STAT 120: Introduction to Statistics
STAT 250: Introduction to Statistical Inference
STAT 400: Integrative Exercise
Fall 2022
STAT 230: Applied Regression Analysis
STAT 340: Bayesian Statistics
Winter 2023
STAT 220: Introduction to Data Science
STAT 400: Integrative Exercise
Spring 2023
STAT 120: Introduction to Statistics
STAT 400: Integrative Exercise

My research focuses on incorporating realistic computation and visualization into the classroom, exploring the potential of visual inference, developing better visualizations to explore complex models, and developing useful and useable R packages.

Journal articles

Maurer, K., Osthus, D., and Loy, A. (2019). A Tale of Four Cities: Exploring the Soul of State College, Detroit, Milledgeville, and Biloxi. Computational Statistics 34(4).

Loy, A., Kuiper, S., and Chihara, L. (2019). Supporting Data Science in the Statistics Curriculum. Journal of Statistics Education 27(1).

Almeida, A., Loy, A., and Hofmann, H. (2018). ggplot2 Compatible Quantile-Quantile Plots in R. The R Journal 10(2).

Loy, A., Follett, L., and Hofmann, H. (2016). Variations of Q-Q Plots—The Power of our Eyes! The American Statistician 70(2), 202–214.

Loy, A. and Hofmann, H. (2015). Are You Normal? The Problem of Confounded Residual Structures in Hierarchical Linear Models. Journal of Computational and Graphical Statistics 24(4), 1191–1209.

Wright Morton, L., Hobbs, J., Arbuckle, J. G., Jr., and Loy, A. (2015). Upper Midwest Climate Variations: Farmer Responses to Excess Water Risks. Journal of Environmental Quality 44(3), 1191–1209.

Arbuckle, J. G., Jr., Hobbs, J., Loy, A., Wright Morton, L., Prokopy, L. S., and Tyndall, J. (2014). Under- standing Corn Belt Farmer Perspectives on Climate Change to Inform Engagement Strategies for Adaptation and Mitigation. Journal of Soil and Water Conservation 69(6), 505–516.

Loy, A. and Hofmann, H. (2014). HLMdiag: A Suite of Diagnostics for Hierarchical Linear Models in R. Journal of Statistical Software 56(5), 1–28.

Arbuckle, J. G., Jr., Prokopy, L. S., Haigh, T., Hobbs, J., Knoot, T., Knutson, C., Loy, A., Mase, A. S., McGuire, J., Wright Morton, L., Tyndall, J., and Widhalm, M. (2013). Climate Change Beliefs, Concerns, and Attitudes toward Adaptation and Mitigation among Farmers in the Midwestern United States. Climatic Change 117(4), 943–950.

Loy, A. and Hofmann, H. (2013). Diagnostic Tools for Hierarchical Linear Models. Wiley Interdisciplinary Reviews: Computational Statistics 5(1), 48–61.

Hofmann, H., Cook, D., Kielion, C., Schloerke, B., Hobbs, J., Loy, A., Mosley, L., Rockoff, D., Huang, Y., Wrolstad, D., and Yin, T. (2011). Delayed, Canceled, On Time, Boarding . . . Flying in the USA. Journal of Computational and Graphical Statistics 20(2), 287–290.

Other publications

Loy, A (2019). Visual Inference: Using Sesame Street Logic to Introduce Key Statistical Ideas. stattlc.com.

Foti, S., Le, L., Ziegler, L., Whitaker, D., and Loy, A (2019). Get the p outta here! Discussing the USCOTS 2019 significance sessions. stattlc.com.

Church, S., Haigh, T., Widhalm, M., Prokopy, L. S., Arbuckle, J. G., Jr., Hobbs, J., Knoot, T., Knutson, C., Loy, A., Mase, A. S., McGuire, J., Wright Morton, L., and Tyndall, J. (2015). Farmer Perspectives on Agricultural Practices, Information, and Weather Variability in the Corn Belt: A Statistical Atlas, Volume 2. Tech. rep. CSCAP 0184-2015. West Lafayette, IN: Purdue University Research Repository.

Loy, A. (2015). Embracing Data Science. The UMAP Journal 36(4). Invited guest editorial, 285–292.

Loy, A., Hobbs, J., Arbuckle, J. G., Jr., Wright Morton, L., Prokopy, L. S., Haigh, T., Knoot, T., Knutson, C., Mase, A. S., McGuire, J., Tyndall, J., and Widhalm, M. (2013). Farmer Perspectives on Agriculture and Weather Variability in the Corn Belt: A Statistical Atlas, Volume 1. Tech. rep. CSCAP 0153-2013. Ames, IA: Cropping Systems Coordinated Agricultural Project (CAP): Climate Change, Mitigation.

Loy, A. and Hofmann, H. (2009). Visual Monitoring of Data Streams. In: JSM Proceedings, Section on Statistical Graphics. American Statistical Association. Washington, DC.

Education & Professional History

Highlights & Recent Activity

Organizations & Scholarly Affiliations

Current Courses

Journal articles

Other publications

Office

Phone

Email

Curriculum Vitae

Website