Hastie T, Tibshirani R (1986) Generalized additive models. Stat Sci 1(3):297–318Hastie T, Tibshirani R: Generalized additive models. Stat Sc 1986, 1 (3):297–318.Hastie, T., Tibshirani: Generalized additive models. Statist. Science 1 , 3, 297–310 (1986) MathSciNet...
(S-PLUS has built-in functions for applying this technique; see the methods listed under generalized additive models in the S-PLUS Guide to Statistics.) The augmented partial residual plot (Mallows, 1986) is like the partial residual plot, except that it includes a quadratic term for the ...
非参数拟合：通过允许非参数拟合，设计良好的GAM可以在对实际关系做出较少假设的情况下，很好地拟合训练数据。结果解释性：然而，非参数拟合可能会牺牲结果的解释性，因为非参数函数可能难以直观地解释。过拟合问题：平滑参数数量：在GAM中，平滑参数的数量应该合理控制，远小于数据提供的自由度，以避免过拟合。
Applying generalized additive models to unravel dynamic changes in anthocyanin biosynthesis in methyl jasmonate elicited grapevine ( Vitis vinifera cv. Gamay) cell cultures. Horticulture research, 2017, 4(1): 1-7. Tse L A, Yu I T, Qiu H, et al. Lung Cancer Decreased Sharply in First 5 ...
An Introduction to Generalized Additive Models with R provides readers with a thorough understanding of the theory and practical applications of GAMs to enable informed use of these very flexible tools and other advanced related models. The author's approach is based on a framework of penalized regr...
Generalized Additive Models GAMs are one approach to non-parametric regression in the multiple predictor setting. The additive linear model is of the form E[Y |X 1 , . . . , X p ] = β 0 +β 1 X 1 +. . . +β p X p The generalized additive model in contrast is of the form...
While McCullagh and Nelder's Generalized Linear Models shows how to extend the usual linear methodology to cover analysis of a range of data types, Generalized Additive Models enhances this methodology even further by incorporating the flexibility of nonparametric regression. Clear prose, exercises in ...
Generalized Additive Models:广义加性模型 热度: Fitting Generalized Additive Models with the GAM Procedure in :广义相加模型拟合与GAM的程序 热度: Generalized Additive Models_an introduction with R 热度: 相关推荐 Generalized Additive Models Simon Wood Mathematical Sciences, University of Bath, U.K....
Generalized Additive Models (GAM),或者广义可加模型,是统计学中一种常用的非参数回归方法。它结合了广义线性模型(GLM)和非线性平滑方法,能够适应非线性、非正态分布和非常数方差的数据。本文将详细介绍GAM算法,并一步一步回答与其相关的问题。 第一部分:GAM算法的介绍 1.1什么是广义可加模型? 广义可加模型是一种...
Hastie T.I, Tibshirani R (1986) Generalized additive models. Statistical Science 1, 297-318. Spatial patterns and edge effects on soil organic matter and nutrients in a forest fragment of southern Brazil Modeling species/environment relations with generalized additive models [online], [cited 23 Mar...