Welcome to Stats 115 - Introduction to Bayesian Data Analysis. This website serves as the syllabus. It has all the information that you would typically find on a syllabus and much more. Make sure to bookmark this page.

Prerequisite: STATS 120C
Recommended STATS 110
Concurrent with STATS 203

Meeting Times and Locations

Lecture Discussion
DBH 1423
MW 09:30 - 10:50 am
DBH 1300
W 4:00 - 4:50 pm

Course Goals

By the end of this course you will be able to:
  • distinguish frequentist and Bayesian statistics;
  • choose appropriate prior distributions for a Bayesian model;
  • use rstan to fit Bayesian models;
  • interpret model results.

Teaching Team



Instructor

Dogucu Headshot
Mine Dogucu (she/her/hers)


mdogucu@uci.edu
Office Hours: Mon 1 - 2 pm & W 3 - 4 pm
Office: Donald Bren Hall 2204




Reader (Grader)

Cangao Chu Headshot
Cangao Chu (he/his/his)


cangaoc@uci.edu
Office: Donald Bren Hall 2013
No scheduled office hours. Grading related office hours may be scheduled if needed.




Texts

The following books are suggested but not required.

Introduction to Bayesian Statistics Bolstad W.M., Curran J.M. Wiley, 3rd Edition, 2016
Bayesian Ideas and Data Analysis, An Introduction for Scientists and Statisticians Christensen R., Johnson W., Branscum A., Hanson T. E. CRC Press, 1st Edition, 2010
In addition, readings may be assigned from a book I am currently co-writing with Alicia A. Johnson and Miles Ott.

Materials

Please bring a laptop to lectures and discussion sessions. If you do not own a laptop or you are having issues with your laptop, note that you may borrow laptops and chromebooks from the library.
You will need a scientific calculator for the midterm and the final. You may not use a graphing calculator.