Question 1
Which of the following concepts is central to understanding Bayesian methods?
Question 2
In the context of Bayesian inference, what does the 'likelihood function' represent?
Question 3
What is the primary purpose of using 'conjugate priors' in Bayesian analysis?
Question 4
Which of the following is a common application of Bayesian methods?
Question 5
If a researcher has strong prior beliefs about a parameter, how would this typically influence the posterior distribution in a Bayesian analysis?
