Assignment 2
· Assignments should be typed (LATEX.) and should be no more than 10 pages using a type size not smaller than 11 point and with 1.5-2.0 line space. This includes figures but excludes the appended code. Document your code so that someone can read it without too much guesswork.
· Answers to questions should be in full sentences.
· Any output (e.g., graphs, tables) from R/JAGS that you use to answer questions must be included with the assignment. You will want to be judicious with what you include in the written report—not every figure and table you construct needs to be included. Also, please append your R/JAGS code at the end of the assignment.
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· The assignment is out of 100 marks.
· The main topics of this assignment are Bayesian GLM and Bayesian hierarchical models which are presented in Lecture 4 and 5.
· You are expected to work independently and not to discuss the assignment with others.
· Briefly indicate the technical details of the MCMC analyses you perform (number of iterations, con- vergence checks, etc.)
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