 Nonparametric regression

Nonparametric regression is a type of regression analysis that does not assume a specific functional form for the relationship between the independent and dependent variables. Unlike parametric regression methods, which rely on predetermined equations (like linear or polynomial functions), nonparametric regression allows the data to dictate the shape of the relationship. Key characteristics of nonparametric regression include: 1. **Flexibility**: Nonparametric methods can model complex, nonlinear relationships without requiring a predefined model structure.