UCSBPlat.com directly in your GOLD Try it Now

Generalized linear models; log-linear models with application to categorical data; and nonlinear regression models. Discussion of each technique includes graphical methods; estimation and inference; diagnostics; and model selection. Emphasis on application rather than theory. R/SAS computation.

Prerequisites: PSTAT 120A or equivalent.

4

Units

Optional

Grading

1, 2, 3

Passtime

None

Level Limit

Letters and science

College
Unlocks PSTAT 230
MEIRING W
Wendy Meiring
2.8
39 reviews
387 1015
T
13:00 PM - 13:50 PM
22 / 40

Winter 2025 . Wang Y-D
ELLSN2626
M W
17:00 PM - 18:15 PM
See All
PSTAT 220B Meiring W Winter 2020 Total: 19
PSTAT 220B Meiring W Winter 2019 Total: 23
See All
39
2.8
220B . Meiring W 9 Years Ago

Should pay more attention to practical stuff rather than theories.

5 helpful 0 unhelpful
PSTAT220B . Meiring W 9 Years Ago

She should NOT be teaching this class. While the hw was fair and midterm was ok, the final project had nothing to do with the class (2 little time to work on it too). Let alone the lectures never made sense. She needs to be better prepared and use a book atleast. A very frustrating class when it should not be.

2 helpful 0 unhelpful
PSTAT127 . Meiring W 1 Year, 15 Days 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 2 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 2 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 3 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
See all 39 reviews
PSTAT 207B
23 / 30 Enrolled
Statistical Theory
Andrew Carter 3.1
M W
09:30 AM - 10:45 AM
85.6% A
PSTAT 213B
21 / 30 Enrolled
Introduction to Probability Theory and Stochastic Processes
Feldman R
T
14:00 PM - 15:50 PM
69.9% A
PSTAT 215A
30 / 30 Full
Bayesian Inference
Alexander Franks 4.8
M W
11:00 AM - 12:15 PM
90.0% A
PSTAT 223B
14 / 20 Enrolled
Financial Modeling
Jean-Pierre Fouque 4.0
T R
09:30 AM - 10:45 AM
92.3% A
PSTAT 231
7 / 20 Enrolled
Introduction to Statistical Machine Learning
Katie Coburn 3.3
T R
17:00 PM - 18:15 PM
77.5% A
PSTAT 231
12 / 20 Enrolled
Introduction to Statistical Machine Learning
Katie Coburn 3.3
T R
15:30 PM - 16:45 PM
77.5% A