2 citations · 2 across the 6 of their papers we have counts for
3 papers · 1 filter
Modular Jump Gaussian Processes
Anna R. Flowers, Christopher T. Franck, Mickaël Binois +2
Gaussian processes (GPs) furnish accurate nonlinear predictions with well-calibrated uncertainty. However, the typical GP setup has a built-in stationarity assumption, making it il…
BRcal: An R Package to Boldness-Recalibrate Probability Predictions
Adeline P. Guthrie, Christopher T. Franck
When probability predictions are too cautious for decision making, boldness-recalibration enables responsible emboldening while maintaining the probability of calibration required…
Bayesian Model Selection with Latent Group-Based Effects and Variances with the R Package slgf
Thomas A. Metzger, Christopher T. Franck
Linear modeling is ubiquitous, but performance can suffer when the model is misspecified. We have recently demonstrated that latent groupings in the levels of categorical predictor…