Recent Posts

The mysteries multiply as we look through the literature but some answers are still forthcoming.

The mystery continues, leading us down an algorithmic path filled with broken sticks.

A parameter collapses, a sophisticated model looms afoot and we find the start of a trail of clues in this unexpected mystery.

An overview of two of the main obstacles to causal inference: Confounding and Selection Bias

An overview of the conditions required for instrumental variables and an example application in the built environment

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

While I’m no longer able to participate in the Statistical Learning Reading Group at Michigan, I was a huge fan of reading the …

Recent Publications

Quickly discover relevant content by filtering publications.

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