10 citations · 12 across the 8 of their papers we have counts for
3 papers · 1 filter
A Graphical Comparison of Screening Designs using Support Recovery Probabilities
Kade Young, Maria L. Weese, Jonathan W. Stallrich +2
A screening experiment attempts to identify a subset of important effects using a relatively small number of experimental runs. Given the limited run size and a large number of pos…
Optimal Designs for Two-Stage Inference
Jonathan W. Stallrich, Michael McKibben
The analysis of screening experiments is often done in two stages, starting with factor selection via an analysis under a main effects model. The success of this first stage is inf…
An Optimal Design Framework for Lasso Sign Recovery
Jonathan W. Stallrich, Kade Young, Maria L. Weese +2
Supersaturated designs investigate more factors than there are runs, and are often constructed under a criterion measuring a design's proximity to an unattainable orthogonal design…