Teaching

During fall 2018 teaching the following courses at Carleton:

  • Math 215: Introduction to statistics
  • Math 315: Bayesian statistics

Past courses that I have taught at Carleton:

  • Math 245: Applied regression
  • Math 265: Probability
  • Math 275: Introduction to statistical inference

Recent Publications

More Publications

  • Model Choice and Diagnostics for Linear Mixed-Effects Models Using Statistics on Street Corners

    Details PDF Code Journal

  • Variations of Q-Q Plots: The Power of Our Eyes!

    Details PDF Journal

  • Are You Normal? The Problem of Confounded Residual Structures in Hierarchical Linear Models

    Details Code Journal

  • Upper Midwest Climate Variations: Farmer Responses to Excess Water Risks

    Details PDF

  • Understanding Corn Belt farmer perspectives on climate change to inform engagement strategies for adaptation and mitigation

    Details PDF

Recent Talks

Projects

Data Science for Statistics

Tutorials and case studies teaching data-scientific concepts in statistics courses.

lmeresampler: Bootstrapping Clustered Data in R

Providing an easy way to bootstrap nested linear-mixed effects models using either the parametric, residual, cases, CGR (semi-parametric), or random effects block (REB) bootstrap fit using either lme4 or nlme.

qqplotr: ggplot2 Compatible Quantile-Quantile plots in R

Extending ggplot2 to provide a complete implementation of Q-Q plots.

Recent Posts

My first blog post.

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Contact

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