Multivariate time series models, cointegration models, multivariate stochastic volatility models, multivariate time series regression models, quantile time series models and non- linear time series models. Mathematical treatment of specification, estimation and forecasting as well as applications in R.

Prerequisites: PSTAT 274; and, PSTAT 207A or 213A or 220A.

4

Units

Optional

Grading

1, 2, 3

Passtime

None

Level Limit

Letters and science

College
Gareth Peters
3.3
4 reviews

Lecture

ILP 3101
T R
17:00 PM - 18:15 PM
0 / 30
PSTAT 277B Peters G W Winter 2024 Total: 5
PSTAT 277B Peters G W Spring 2023 Total: 8
4
3.3
PSTAT174 . 1 Year, 7 Months Ago

Prof. Peters really cares about students and went above and beyond to help us. However, the structure of the course could be improved. We had to learn all the math in 5/6 weeks, and the math in this class is very difficult. I could've learned the materials better if we started with math right away then moved on to the project in week 9/10.

1 helpful 0 unhelpful
PSTAT174 . 1 Year, 7 Months Ago

A lot of math proofs and derivations starting from week four. All homework / midterm are assigned after week 6. Really weird schedule. The professor is nice and held extra office hours to provide help.

0 helpful 0 unhelpful
PSTAT174 . 1 Year, 8 Months Ago

Many concepts are unclear in his lecture and there are so many mathematical proofs required for this course that are difficult to understand. I regret to take this quarter taught by him.

0 helpful 0 unhelpful
PSTAT174 . 2 Years Ago

Amazing Professor. SHORT & EASY Final. Every stats students shall not hesitate to take this course!

1 helpful 1 unhelpful
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