1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ME2023
Post-model-selection prediction for GLM's
Dean Dustin, Bertrand Clarke
We give two prediction intervals (PI) for Generalized Linear Models that take model selection uncertainty into account. The first is a straightforward extension of asymptotic norma…
stat.ME2022★ 1 cited
Testing for the Important Components of Posterior Predictive Variance
Dean Dustin, Bertrand Clarke
We give a decomposition of the posterior predictive variance using the law of total variance and conditioning on a finite dimensional discrete random variable. This random variable…