Read the paper A Weakly Informative Default Prior Distribution For Logistic and Other Regression Models, by Andrew Gelman, Aleks Jakulin, Maria Grazia Pittau and Yu-Sung Su. The paper is listed in the Papers section in the official course’s Moodle page, entitled Gelman et al. 2008.
Prepare a short written summary (max 1000 characters, spaces excluded) OR an oral recorded presentation (max 4 minutes) to resume and analyse the main contents of the paper.
The following questions may drive you in preparing your presentation:
What is the meaning of weakly infomative priors?
Which are the main advantages of these priors underlined in the paper?
How can be weakly informative priors implemented in R?
Wendnesday 29, April 2020 (11.55 pm)
Submit your summary through the Homeworks section (click on Homework 1) in the Moodle page.