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  • PSTAT 127

    • Advanced Statistical Models . PSTAT 127

    Exponential family and generalized linear models including logistic and Poisson regression, nonparametric regression, including kernel, spline and local polynomials, and generalized additive models. Other topics as time allows: regularization, neural networks, and support vector machines. Emphasis will be on concepts and practical applications.

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    Prerequisites: PSTAT 126 with a minimum grade of C or better.

    4

    Units

    Optional

    Grading

    1, 2

    Passtime

    None

    Level Limit

    Letters and science

    College
    These majors only finms stsds actsc stsap stats
    Instructors
    MEIRING W
    Wendy Meiring
    2.8
    39 reviews
    Predicted Grading Distribution
    AI predicted, based on past grading trends of the course and instructor, class info, and 127 other factors
    Lecture
    ILP 1101
    T R
    15:30 PM - 16:45 PM
    0 / 150
    Sections
    PHELP1529
    W
    09:00 AM - 09:50 AM
    0 / 25
    PHELP1526
    W
    10:00 AM - 10:50 AM
    0 / 25
    PHELP1529
    W
    11:00 AM - 11:50 AM
    0 / 25
    PHELP1529
    W
    12:00 PM - 12:50 PM
    0 / 25
    PHELP1529
    W
    13:00 PM - 13:50 PM
    0 / 25
    PHELP1529
    W
    14:00 PM - 14:50 PM
    0 / 25
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    Enrollment Trends
    Past Enrollment Trends (4)
    See All
    Fall 2024 . Meiring W
    ILP 1302
    T R
    11:00 AM - 12:15 PM
    Fall 2025 . Meiring W
    ILP 1302
    M W
    14:00 PM - 15:15 PM
    Grading Trends (11)
    See All
    PSTAT 127 Meiring W Fall 2025 Total: 88
    PSTAT 127 Meiring W Fall 2024 Total: 71
    Rate My Professors
    See All
    39
    2.8
    PSTAT127 . Meiring W 1 Year, 11 Months Ago

    A great lecturer and very passionate about the subject, go to lecture!! She focuses only on the most important things in lecture and almost everything emphasized in lecture is tested on. Very fair tests just like the practice tests, lots of time for homework and quizzes, very accessible in OH.

    0 helpful 0 unhelpful
    PSTAT127 . Meiring W 3 Years Ago

    The professor is a very very nice person. However, the course is taught superficially and moves very slowly. (6 weeks on glm, 2.5 weeks on ridge/lasso, 1.5 weeks on nonparametric methods) I also need to do a lot of repeated and really boring practice problems to do well on exams.

    0 helpful 0 unhelpful
    PSTAT127 . Meiring W 3 Years Ago

    Clearly passionate about the subject but is an extremely harsh grader and stickler for notation. Expect to spend lots of time in office hours and study groups if you want to pass. Grading 15% quizzes (unlimited attempts), 20% homework, 20% midterm, 45% final

    0 helpful 0 unhelpful
    PSTAT127 . Meiring W 4 Years Ago

    Professor Meiring is a very nice person, but it felt like she was juggling many things at once. It felt difficult to get more than a surface-level understanding of the material and the final was worth 45% which made the class stressful. Luckily, the midterm and final were similar to the practices (which are previous exams) which was helpful.

    0 helpful 0 unhelpful
    PSTAT127 . Meiring W 4 Years Ago

    She is decent

    0 helpful 0 unhelpful
    PSTAT127 . Meiring W 5 Years Ago

    Course had some interesting concepts, but it wasn't taught practically. Textbook barely used here. Lectures could have concrete analysis after drawing figures in lecture instead of more sketches. Quizzes needed to be worth more too!

    0 helpful 0 unhelpful
    See all 39 reviews
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