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STAT 5825: Applied Time Series
Introduction to prediction using time-series regression methods with non-seasonal and seasonal data. Smoothing methods for forecasting. Modeling and forecasting using univariate autoregressive moving average models.
- Credits
- 3
- Offered
- Spring 2027, Fall 2026
- Campuses
- Storrs
- Requirements
- Open to graduate students in Statistics, others with permission.
Spring 2027 sections
Taught by Yao Zheng.
| Section | Type | Meets | Instructor | Campus | Room | Seats |
|---|---|---|---|---|---|---|
| 001 | LEC | 9:30AM - 10:45AM / TuTh | Yao Zheng | Storrs | AUST 340 | 7 of 10 open |
Seats as of Nov 12, 2026. HuskyScheduler shows live seats when you search.
Fall 2026 sections
Taught by Isabelle Perez and Nalini Ravishanker.
| Section | Type | Meets | Instructor | Campus | Room | Seats |
|---|---|---|---|---|---|---|
| 001 | LEC | TBA | Isabelle Perez, Nalini Ravishanker | Storrs | Online | 18 of 30 open |
Seats as of Nov 12, 2026. HuskyScheduler shows live seats when you search.