Local sensitivity diagnostics for Bayesian inference
Local sensitivity diagnostics for Bayesian inference
We investigate diagnostics for quantifying the effect of small changes to the prior distribution over a k-dimensional parameter space.We show that several previously suggested diagnostics, such as the norm of the Frechet derivative, diverge at rate n k r2 if the base prior is an interior ṕoint in the class …