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
CollegeI am the PSTAT 115 student.the best professor I have ever met at UCSB. Well-prepared and organized lecture The exams are not easy, but if you follow her step, you will do well on the exams. she should not got low grade, she is so patient when answer my question.I got 100% on canvas, it gives me confidence and I really love it and the professor
4 HW's with 1.5 weeks to finish each, 3 online quizzes bi-weekly. Lectures were so confusing but necessary to succeed so attend all. Midterm and final both took questions from the practice exam and had 50% R output interpretation 30% Derivation/Proof 20% MC/TF and extra credit. Attend sections right before the exam, TA's went over helpful topics.
If you want to be concerned about whether you will graduate on time due to a single question on a single exam, this is the class to take. Prof never responds to emails/Nectir (Slack).
Random in-class quizzes, bi-weekly homework assignments which were challenging because in-class material didn't help, a midterm and a final. Final was completely unfair and irrelevant to what we learned. I would only take this class when Professor Sang-Yun Oh teaches it. Most of the class felt like they learned absolutely nothing. Avoid, 0/10 class
HW assigned biweekly, labs were not required but were briefly gone over in section without solutions released. Quizzes were in class on canvas, and the final was very difficult with two questions, one being worth 50/70 points. Professor/ hws did not prepare the class for exams and in general it was a low quality class.
I took her for PSTAT 134. The course load is actually pretty light she just doesn't really do anything to prepare you for the mid term and finals. There's not enough in the assignments to prepare you. Final had 50/70 points in one question that I couldn't finish.