Statistics
广义函数部分加性混合模型
Generalized Functional Partially Additive Hybrid ModelA statistical modeling framework that extends generalized linear models by incorporating functional components and partially additive structures to handle high-dimensional covariate data. / 一种统计建模框架，通过引入函数成分和部分可加结构来处理高维协变量数据。
- Knowledge type
- 数学理论
- First proposed or discovered
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- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-10-08 07:58:10
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Main parameters and performance indicators
Diverging number of covariates: The number of predictors increases with sample sizeFunctional components: Represent continuous or time-varying covariatesPartially additive structure: Combines linear and non-linear effects
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Related literature
ranked by community starsEstimation and Model Selection Procedures in Generalized Functional Partially Additive Hybrid Model with Diverging Number of CovariatesOpen source
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1 recordsRecord title: Generalized Functional Partially Additive Hybrid Model.
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