Regression and Applied Time Series
ORF 405
1222
1222
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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: 15
- Capacity: 28
- Class Number: 22782
- Schedule: T 08:30 PM-09:20 PM - Sherrerd Hall 101
Section B02
- Type: Lab
- Section: B02
- Status: O
- Enrollment: 18
- Capacity: 28
- Class Number: 22165
- Schedule: T 08:30 PM-09:20 PM - Friend Center 108
Section B03
- Type: Lab
- Section: B03
- Status: O
- Enrollment: 3
- Capacity: 20
- Class Number: 23834
- Schedule: T 03:30 PM-04:20 PM - East Pyne Building 239
Section L01
- Type: Lecture
- Section: L01
- Status: O
- Enrollment: 36
- Capacity: 56
- Class Number: 22164
- Schedule: MW 03:00 PM-04:20 PM - Friend Center 006
Section P01
- Type: Precept
- Section: P01
- Status: O
- Enrollment: 14
- Capacity: 28
- Class Number: 22783
- Schedule: T 07:30 PM-08:20 PM - Sherrerd Hall 101
Section P02
- Type: Precept
- Section: P02
- Status: O
- Enrollment: 19
- Capacity: 28
- Class Number: 22166
- Schedule: T 07:30 PM-08:20 PM - Friend Center 108
Section P03
- Type: Precept
- Section: P03
- Status: O
- Enrollment: 3
- Capacity: 20
- Class Number: 23835
- Schedule: T 02:30 PM-03:20 PM - East Pyne Building 239