52 citations · 167 across the 19 of their papers we have counts for
Showing 2018Show all
2 papers · 1 filter
stat.ME2018★ 52 cited
Efficient leave-one-out cross-validation for Bayesian non-factorized normal and Student-t models
Paul-Christian Bürkner, Jonah Gabry, Aki Vehtari
Cross-validation can be used to measure a model's predictive accuracy for the purpose of model comparison, averaging, or selection. Standard leave-one-out cross-validation (LOO-CV)…
math.ST2018
Optimal Designs for the Generalized Partial Credit Model
Paul-Christian Bürkner, Rainer Schwabe, Heinz Holling
Analyzing ordinal data becomes increasingly important in psychology, especially in the context of item response theory. The generalized partial credit model (GPCM) is probably the…