An introduction to the Bayesian approach to statistical inference, its theoretical foundations and comparison to classical methods. Topics include parameter estimation, testing, prediction and computational methods (Markov Chain Monte Carlo simulation). Emphasis on concepts, methods and data analysis. Extensive use of the R programming language and examples from the social, biological and physical sciences to illustrate concepts.
4
UnitsOptional
Grading1, 2
PasstimeNone
Level LimitLetters and science
CollegeHe taught Bayesian Statistics very well and used lots of real world examples which helps to remind you of the "why" we do any of the statistics. He explained things very well with very helpful visuals which made it easy to understand the theory. Attendance isn't mandatory but I highly recommend going to the lectures. Great course and professor.
great professor
Brian was an okay instructor. The material is fairly complicated and he was able to break it down somewhat simply. 50% of your grade is final and midterm. Four HWs were challenging and you could work on them with a partner. Midterm was incredibly difficult and the final was take home and much fairer.
Professor is fine, but his lectures are not interactive and a lot is gone over very quickly. The class was curved generously at the end because of the midterm and final being somewhat challenging. Homework and grading are both very lenient: scored a mediocre 89 on both midterm and final, but I originally thought my grade was going to be much worse.
Lectures were nothing special but sufficient to learn material. Easy midterm, harder final. Gave us extra credit for filling out a survey. Generous curve on lower end (63% turned into a passing C). Most people have difficulty with the material, not the professor. HW is harder than both midterm and final and serves as good prep.
He's just okay, boring lectures, he moves fast and skims over a lot. TAs were a lot more helpful. Exams were very difficult and incomparable to HW/practice exams, despite him saying they would be similar. The difference between what he gives us to prepare and the actual exam is genuinely laughable.