STATS C236
Introduction to Bayesian Statistics
Description: Lecture, three hours; discussion, one hour. Recommended requisite: course 200A or 200B. Designed for graduate students. Introduction to statistical inference based on use of Bayes theorem, covering foundational aspects, current applications, and computational issues. Topics include Stein paradox, nonparametric Bayes, and statistical learning. Examples of applications vary according to interests of students. Concurrently scheduled with course C180. S/U or letter grading.
Units: 4.0
Units: 4.0
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Most Helpful Review
ECON 1* Rojas is a very engaging teaching. I took Econ 1 at 9:30 in the morning so everyone around was very tired but throughout his lecture he pauses to make sure everyone understands. Rojas also is constantly asking questions for everyone to participate in the lecture. His class goes significantly slower than Sproul but unlike Sproul he gives homeworks that are factored into the grade. All of his tests so far have been 25 multiple choice so depending on who you are this could be good or bad. I definitely recommend for whoever takes this class to buy the book bundle from UCLA because I haven't seen a cheaper option. To buy the code on its own is $120 but the website offers the code and the physical book for $140.
ECON 1* Rojas is a very engaging teaching. I took Econ 1 at 9:30 in the morning so everyone around was very tired but throughout his lecture he pauses to make sure everyone understands. Rojas also is constantly asking questions for everyone to participate in the lecture. His class goes significantly slower than Sproul but unlike Sproul he gives homeworks that are factored into the grade. All of his tests so far have been 25 multiple choice so depending on who you are this could be good or bad. I definitely recommend for whoever takes this class to buy the book bundle from UCLA because I haven't seen a cheaper option. To buy the code on its own is $120 but the website offers the code and the physical book for $140.
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