Regression and Applied Time Series
ORF 405
1242
1242
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An introduction to popular statistical approaches in regression and time series analysis. Topics will include theoretical aspects and practical considerations of linear, nonlinear, and nonparametric modeling (kernels, neural networks, and decision trees).
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Section B01
- Type: Lab
- Section: B01
- Status: O
- Enrollment: 20
- Capacity: 30
- Class Number: 20443
- Schedule: W 08:30 PM-09:20 PM - Sherrerd Hall 101
Section B02
- Type: Lab
- Section: B02
- Status: O
- Enrollment: 20
- Capacity: 30
- Class Number: 20441
- Schedule: W 08:30 PM-09:20 PM - Sherrerd Hall 001
Section L01
- Type: Lecture
- Section: L01
- Status: O
- Enrollment: 40
- Capacity: 58
- Class Number: 20440
- Schedule: TTh 08:30 AM-09:50 AM - Friend Center 008
Section P01
- Type: Precept
- Section: P01
- Status: O
- Enrollment: 22
- Capacity: 30
- Class Number: 20444
- Schedule: W 07:30 PM-08:20 PM - Sherrerd Hall 101
Section P02
- Type: Precept
- Section: P02
- Status: O
- Enrollment: 18
- Capacity: 30
- Class Number: 20442
- Schedule: W 07:30 PM-08:20 PM - Sherrerd Hall 001