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  • PSTAT 115

    • Introduction to Bayesian Data Analysis . PSTAT 115

    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.

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    Prerequisites: PSTAT 126 with a minimum grade of C.

    4

    Units

    Optional

    Grading

    1, 2

    Passtime

    None

    Level Limit

    Letters and science

    College
    These majors only finms actsc stsds stsap stats
    Instructors
    WAINWRIGHT B
    Brian Wainwright
    3.1
    145 reviews
    Predicted Grading Distribution
    AI predicted, based on past grading trends of the course and instructor, class info, and 127 other factors
    Lecture
    ILP 1302
    T R
    09:30 AM - 10:45 AM
    0 / 125
    Sections
    PHELP1517
    T
    11:00 AM - 11:50 AM
    0 / 25
    PHELP1517
    T
    12:00 PM - 12:50 PM
    0 / 25
    PSY-E1806
    W
    12:00 PM - 12:50 PM
    0 / 25
    PSY-E1806
    W
    13:00 PM - 13:50 PM
    0 / 25
    PSY-E1806
    W
    14:00 PM - 14:50 PM
    0 / 25
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    Enrollment Trends
    Past Enrollment Trends (9)
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    Spring 2024 . Wainwright B
    HSSB 1174
    M W
    12:30 PM - 13:45 PM
    Fall 2024 . Wainwright B
    BIOEN1001
    M W
    11:00 AM - 12:15 PM
    Grading Trends (18)
    See All
    PSTAT 115 Wainwright B Spring 2025 Total: 80
    PSTAT 115 Wainwright B Fall 2024 Total: 74
    Rate My Professors
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    145
    3.1
    PSTAT115 . Wainwright B 1 Year, 4 Months Ago

    Third class with Wainwright, super chill, lecture not required but helpful as he explains nuance and is responsive to lecture questions. Go to office hours with actual questions and you should be set for exams. Homework can be done with a partner which makes them super manageable.

    0 helpful 0 unhelpful
    PSTAT115 . Wainwright B 1 Year, 4 Months Ago

    Brian can be very charismatic in his lectures, and explains the content well enough. The course contains a lot of difficult content to cover but his grading scale is very lenient, however the exams (particularly the midterm) were very nitpicky on the particular content used, and covered 50% of the final grade; section attendance was also required.

    0 helpful 0 unhelpful
    PSTAT115 . Wainwright B 1 Year, 4 Months Ago

    No curve at all. The exams are straightforward but covers an insane amount of content, so it's really hard for you to memorize every detail clearly. However, those things that you fail to notice are highly likely to appear on the exam. Afterall it's a tough course and the professor is not good.

    0 helpful 0 unhelpful
    PSTAT115 . Wainwright B 1 Year, 7 Months Ago

    He 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.

    0 helpful 0 unhelpful
    PSTAT115 . Wainwright B 4 Years Ago

    great professor

    0 helpful 0 unhelpful
    PSTAT115 . Wainwright B 4 Years Ago

    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.

    0 helpful 0 unhelpful
    See all 145 reviews
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