The purpose of objective priors in Bayesian analysis is to provide researchers with a prior distribution that makes no assumptions whatsoever.

Question

Quizplus · Accepted Answer

Objective priors are designed to have minimal influence on the posterior distribution, but they do not make "no assumptions whatsoever." They are chosen to be non-informative or weakly informative, aiming to represent a state of relative ignorance about the parameters in question, but they still embody assumptions about parameter space or scale.

The Purpose of Objective Priors in Bayesian Analysis Is to Provide