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

Graduate students only

Level Limit

Letters and science

College
FELDMAN R
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T B A
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T B A
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T B A
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T B A
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Winter 2025 . Feldman R
ON ASYNC
Spring 2025 . Feldman R
ON ASYNC
PSTATW 274 Feldman R Fall 2023 Total: 17
PSTAT 231
0 / 25 Enrolled
Introduction to Statistical Machine Learning
Katie Coburn 3.1
T R
15:30 PM - 16:45 PM
PSTAT 231
0 / 25 Enrolled
Introduction to Statistical Machine Learning
Katie Coburn 3.1
T R
17:00 PM - 18:15 PM
PSTAT 232
0 / 30 Enrolled
Computational Techniques in Statistics
Guo Yu 2.8
T R
12:30 PM - 13:45 PM
PSTAT 262DS
0 / 30 Enrolled
Seminars In Probability and Statistics
Qu P
T R
11:00 AM - 12:15 PM
PSTAT 274
0 / 20 Enrolled
Time Series
Tomoyuki Ichiba 3.8
M W
12:30 PM - 13:45 PM
PSTAT 276
0 / 10 Enrolled
ADVANCED MATHEMATICAL FINANCE
Michael Ludkovski 3.0
M W
11:00 AM - 12:15 PM