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Regression and Applied Time Series

ORF 405

1232
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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: 27
  • Capacity: 28
  • Class Number: 20927
  • Schedule: W 08:30 PM-09:20 PM

Section B02

  • Type: Lab
  • Section: B02
  • Status: C
  • Enrollment: 28
  • Capacity: 28
  • Class Number: 20925
  • Schedule: W 08:30 PM-09:20 PM

Section L01

  • Type: Lecture
  • Section: L01
  • Status: O
  • Enrollment: 55
  • Capacity: 56
  • Class Number: 20924
  • Schedule: TTh 08:30 AM-09:50 AM

Section P01

  • Type: Precept
  • Section: P01
  • Status: O
  • Enrollment: 27
  • Capacity: 28
  • Class Number: 20928
  • Schedule: W 07:30 PM-08:20 PM

Section P02

  • Type: Precept
  • Section: P02
  • Status: C
  • Enrollment: 28
  • Capacity: 28
  • Class Number: 20926
  • Schedule: W 07:30 PM-08:20 PM