In Bayesian data analysis, the objective prior is used when:
A) researchers have a clear idea of what the prior distribution is.
B) the odds of obtaining every possible outcome are objectively known.
C) researchers have little idea of what the prior distribution is.
D) researchers are concerned with reducing Type I error.

Question

Quizplus · Accepted Answer

The objective prior is used when researchers have little idea of what the prior distribution is. It is used to avoid bias and subjectivity in the prior distribution and to incorporate external information in a principled and transparent way.

In Bayesian Data Analysis, the Objective Prior Is Used When