In the Bayesian context, let the prior be f(p) = e-' (an exp(1)) and the likelihood be f(x|m) – (27e*"") N(m,1), a norma

Business, Finance, Economics, Accounting, Operations Management, Computer Science, Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Algebra, Precalculus, Statistics and Probabilty, Advanced Math, Physics, Chemistry, Biology, Nursing, Psychology, Certifications, Tests, Prep, and more.
Post Reply
answerhappygod
Site Admin
Posts: 899603
Joined: Mon Aug 02, 2021 8:13 am

In the Bayesian context, let the prior be f(p) = e-' (an exp(1)) and the likelihood be f(x|m) – (27e*"") N(m,1), a norma

Post by answerhappygod »

In The Bayesian Context Let The Prior Be F P E An Exp 1 And The Likelihood Be F X M 27e N M 1 A Norma 1
In The Bayesian Context Let The Prior Be F P E An Exp 1 And The Likelihood Be F X M 27e N M 1 A Norma 1 (151.97 KiB) Viewed 87 times
In the Bayesian context, let the prior be f(p) = e-' (an exp(1)) and the likelihood be f(x|m) – (27e*"") N(m,1), a normal distribution with mean m and variance 1. Simulate a distribution of x like the code on page 9 making the following changes: replace rbeta(...) with rexp(1) • replace rbinom (...) use rnorm (n=1, mean=p, sd=1) • to make it go faster, replace 1e6 with 100 or with 1000 (fewer simulated values) *Note, do not set a seed for the randomization. (a) (2 marks) Provide a histogram of your simulated distribution

(b) (2 marks) Give the five number summary using output from summary(xvalues)
Join a community of subject matter experts. Register for FREE to view solutions, replies, and use search function. Request answer by replying!
Post Reply