I read the following in Machine Learning: A Probabilistic Perspective:
How can a uniform prior move the posterior mean? Isn't a uniform distribution supposed to not bias the result? Are there any other examples where this happens?
Note: In my original question I had misread the paragraph. I fixed the question accordingly.