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...
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 ...
"5.3 GLM, GAM and more", inInterpretable Machine Learning,site pyGAM, Generalized Additive Models in Python,site
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A document introducing generalized additive models.📈 rmodelingsplinesgamgeneralized-additive-modelsmgcvrandom-effects UpdatedJan 15, 2024 R nicholasjclark/physalia-forecasting-course Star37 Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms} ...
Generalized Additive Models 作者: T·J·Hastie / R·J·Tibshirani 出版社: Chapman and Hall/CRC出版年: 1990-6-1页数: 352定价: USD 125.95装帧: Hardcover丛书: Monographs on Statistics and Applied ProbabilityISBN: 9780412343902豆瓣评分 评价人数不足 ...
In this paper, we extend them with generalized additive models to allow covariates effects. Borrowing ideas from a traditionally univariate context, we let each pair-copula parameter depend directly on the covariates in a parametric, semiparametric or nonparametric way. We propose a sequential ...
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...
Generalized additive models have the the form η(x)=α+Σfj(Xj), where η might be the regression function in a multiple regression, or the logistic transformation of the posterior probability p(y=l/ x) in logistic regression. In fact, these models...
出版年:2006-02-27 页数:391 定价:USD 79.95 装帧:Hardcover 丛书:Texts in Statistical Science ISBN:9781584884743 豆瓣评分 评价人数不足 评价: 写笔记 写书评 加入购书单 分享到 推荐 内容简介· ··· An Introduction to Generalized Additive Models with R provides readers with a thorough understanding...