Stationary and non-stationary models, seasonal time series, ARMA models: calculation of ACF, PACF, mean and ACF estimation. Barlett's formula, model estimation: Yule-Walker estimates, ML method. Identification techniques, diagnostic checking, forecasting, spectral analysis, the periodogram. Current software and applications.

Prerequisites: PSTAT 120A-B.

4

Units

Optional

Grading

1, 2, 3

Passtime

None

Level Limit

Letters and science

College
FELDMAN R
No info found

Time location TBD

PSTATW 274 Feldman R Fall 2023 Total: 17
PSTAT 237
0 / 30 Enrolled
Uncertainty Quantification
Mengyang Michael Gu 3.6
M W
09:30 AM - 10:45 AM
100.0% A
PSTAT 262MC
0 / 30 Enrolled
Seminars in Probability and Statistics
Alexander Shkolnik 3.7
F
10:00 AM - 11:50 AM
92.9% A
PSTAT 263
0 / 75 Enrolled
Research Seminars in Probability and Statistics
Guo Yu 3.1 Gareth Peters 3.3
M W
15:30 PM - 16:45 PM
PSTAT 274
0 / 20 Enrolled
Time Series
Tomoyuki Ichiba 3.8
T R
11:00 AM - 12:15 PM
84.6% A
PSTAT 277B
0 / 30 Enrolled
Advanced Time Series
Gareth Peters 3.3
T R
17:00 PM - 18:15 PM
100.0% A
PSTAT 296B
0 / 18 Enrolled
Research Projects in Actuarial Science
Gareth Peters 3.3
F
12:00 PM - 13:50 PM
96.8% A
What classes should I take?
Recommend Classes
What classes should I take