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1.3b Generalized Additive Models (GAM)

Generalized Additive Models combine smooth splines with the generalized linear model framework to handle nonlinear relationships with non-Gaussian data.
In this video, we build GAM step by step by connecting splines and GLMs into a single model.

Watch the full series: https://www.youtube.com/playlist?list=PLdMM2W7mxqIYDURvh37jLz8sd8sDjonk5

0:00 — Problem Setup
4:28 — Spline Review
9:26 — GLM Review
13:39 — GAM Model

Topics:
• Generalized Additive Models (GAM)
• Splines and smoothing penalties
• Linear Models (LM)
• Generalized Linear Models (GLM)
• Exponential family distributions
• Link functions
• Penalized likelihood
• Iteratively Reweighted Least Squares (IRLS)
• Statistical inference
• Nonlinear regression

Видео 1.3b Generalized Additive Models (GAM) канала Jingyuan Hu
generalized additive models GAM model spline regression generalized linear model GLM exponential family penalized likelihood regularization curvature penalty basis expansion statistical inference machine learning math statistical learning applied statistics
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15 марта 2026 г. 20:02:56
00:20:10
Jingyuan Hu
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