PSL_Book
  • 1. Introduction
  • 2. Linear Regression
  • 3. Variable Selection and Regularization
  • 4. Regression Trees and Ensemble
  • 5. Nonlinear Regression
    • 5.1. Polynomial Regression
    • 5.2. Cubic Splines
    • 5.3. Regression Splines
    • 5.4. Smoothing Splines
    • 5.5. Local Regression
  • 6. Clustering Analysis
  • 7. Latent Structure Models
  • 8. TBA
  • 9. Discriminant Analysis
  • 10. Logistic Regression
  • 11. Support Vector Machine
  • 12. Classification Trees and Boosting
  • 13. Recommender System
PSL_Book
  • 5. Nonlinear Regression

5. Nonlinear Regression

  • 5.1. Polynomial Regression
  • 5.2. Cubic Splines
  • 5.3. Regression Splines
  • 5.4. Smoothing Splines
  • 5.5. Local Regression
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