Let X1, …, Xn be a random sample from f(x | θ), where θ is a value of a random variable Θ with known prior density gΘ(θ). The estimator of τ(θ) defined as E is called the?
Correct answer A. Posterior Bayes estimator
Explanation
The posterior Bayes estimator is the mean of τ(Θ) under the posterior distribution, which minimises expected squared error loss given the data.
Answer checked How we write and check questions
Discussion