Recent Posts

The mysteries multiply as we look through the literature but some answers are still forthcoming.
Last updated on 9 min read

The mystery continues, leading us down an algorithmic path filled with broken sticks.
Last updated on 7 min read

A parameter collapses, a sophisticated model looms afoot and we find the start of a trail of clues in this unexpected mystery.
Last updated on 7 min read

An overview of two of the main obstacles to causal inference: Confounding and Selection Bias
Last updated on 5 min read

An overview of the conditions required for instrumental variables and an example application in the built environment
Last updated on 6 min read
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Projects

STAPVis

Visualizations for Spatial Aggregated Predictors

bendr

Fitting Built Environment Data to Nested Dirichlet Processes in R

rstap

An R package for fitting Spatio-Temporal Aggregated Predictor Models in R.

Recent & Upcoming Talks

Jan 11, 2020 10:00 AM

Feb 19, 2019 12:00 AM

While I’m no longer able to participate in the Statistical Learning Reading Group at Michigan, I was a huge fan of reading the …
Nov 26, 2018 12:00 AM

Apr 11, 2018 6:30 PM

Recent Publications

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The rstap package implements Bayesian spatial temporal aggregated predictor models in R using the probabilistic programming language …
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