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Data for: An RKHS model for variable selection in functional linear regression

Mendeley Data2018-05-05 更新2026-04-09 收录

函数回归

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数据链接：

https://data.mendeley.com/datasets/jnr6m2y4v8/1 数据链接链接失效反馈

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资源简介：

R code used in "An RKHS model for variable selection in functional linear regression".

应用场景：

创建时间：

2018-05-05

回归分析

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Global Fréchet regression is an extension of linear regression to cover more general types of responses, such as distributions, networks, and manifolds, which are becoming more prevalent. In such mode

DataCite Commons2025-04-29 更新70

The regression coefficients from a stepwise multiple regression of ED against the numbers of new and shared TEs in each region.

逐步回归

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New terms were included (or excluded) from the model such that all factors in the model were nominally significant at p< = 0.05.

NIAID Data Ecosystem50

List of environmental variables from the BIOCLIM dataset used in the MaxEnt model.

物种分布模型

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Bold font indicates variables considered in initial model run; †superscript indicates the two variables included in final model.

NIAID Data Ecosystem50

ConvexLAR: An Extension of Least Angle Regression

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回归优化

The least angle regression (LAR) was proposed by Efron, Hastie, Johnstone and Tibshirani in the year 2004 for continuous model selection in linear regression. It is motivated by a geometric argument a

NIAID Data Ecosystem50

Variable Selection for Global Fréchet Regression

Fréchet回归

变量选择

NIAID Data Ecosystem50