Concept

Smoothing spline

Related lectures (4)

Covers iterative weighted least squares, Poisson regression, and Bayesian analysis of spring barley data using mixed models.

Covers regression methods focusing on spline smoothing and penalised fitting to balance data fidelity and smoothness.

Explores equivalent degrees of freedom in spline smoothing and the bias-variance tradeoff in fitting data.

Covers analysis of variance, model building, variable selection, and function estimation in regression methods.