Why using vague (or noninformative) priors?
105464
Why would someone use a Bayesian approach with a 'noninformative' improper prior instead of the classical approach?
125080
Why is uniform prior on log(x) equal to 1/x prior on x?
44001
Relation Between Bayesian Estimation and Maximum a posteriori estimation
1639
Why is it necessary to sample from the posterior distribution if we already KNOW the posterior distribution?
30128
When are confidence intervals useful?
65682
Why does universal generalization work? (the rule of inference)
30912
Having a conjugate prior: Deep property or mathematical accident?
117375
Examples of Bayesian and frequentist approach giving different answers
114612
Why is "consistent nearest neighbour" Non-parametric?
141796
Clarification regarding white space in rules of inference
11175
Conjugate prior for a Gamma distribution
72885
Likelihood is not "proportional to" a single probability density?
97620
What is an example of a transformation on a posterior distribution such that the MAP estimate will be non-invariant?
136164
Are smaller p-values more convincing?
87076
Is there a standard way to Determine Sample Size when doing Bayesian Inference?
32548
On the importance of the i.i.d. assumption in statistical learning
58810
I've heard that ratios or inverses of random variables often are problematic, in not having expectations. Why is that?