CAS Exam MAS-II Spring 2019, Question 18
Study guide: Exam MAS-II
You are building the following model:
\begin{align*}
y_i &\sim \text{Exponential}(\theta) \\
\theta &\sim \text{Uniform}(0, \omega) \\
\omega &\sim \text{Uniform}(7, 10)
\end{align*}
Your buddy, Sarah Jane, tells you that the posterior distribution of \theta \mid \omega is:
p(\theta \mid \omega) =
\begin{cases}
\dfrac{\frac{1}{\theta}e^{-\sum y_i/\theta}}{\int_0^{\omega} \frac{1}{\theta}e^{-\sum y_i/\theta}\,d\theta} & \text{if } 0 < \theta < \omega \\[2ex]
0 & \text{otherwise}
\end{cases}
Determine which of the following statements is correct.
- A) Sarah Jane is correct.
- B) Sarah Jane is incorrect because the bounds of the integral are incorrect.
- C) Sarah Jane is incorrect because she didn't include the prior density.
- D) Sarah Jane is incorrect because the variable of integration (
d\theta) is incorrect. - E) Sarah Jane is incorrect for another reason not listed in (B), (C), or (D).
Answer this question and see the worked solution
Concepts tested
- Bayesian
- Bayesian Credibility
- Exponential Distribution
- Maximum Likelihood Estimation
- Posterior Distribution