10 citations · 12 across the 8 of their papers we have counts for
3 papers · 1 filter
Statistical Challenges in Online Controlled Experiments: A Review of A/B Testing Methodology
Nicholas Larsen, Jonathan Stallrich, Srijan Sengupta +3
The rise of internet-based services and products in the late 1990's brought about an unprecedented opportunity for online businesses to engage in large scale data-driven decision m…
D- and A-optimal Screening Designs
Jonathan Stallrich, Katherine Allen-Moyer, Bradley Jones
In practice, optimal screening designs for arbitrary run sizes are traditionally generated using the D-criterion with factor settings fixed at +/- 1, even when considering continuo…
Tuning Parameter Selection for Penalized Estimation via
Julia Holter, Jonathan Stallrich
The tuning parameter selection strategy for penalized estimation is crucial to identify a model that is both interpretable and predictive. However, popular strategies (e.g., minimi…