基于稀疏超高维非参数可加模型的条件独立筛选
徐萍， 钟思敏， 李斌斌， 熊文俊 - 《 广西师范大学学报》(自然科学 …, 2022 - gxsf.magtech.com.cn
… Conditional independence screening in sparse ultra-high dimensional nonparametric
additive models[J]. Journal of Guangxi Normal University (Natural Science Edition), 2022, 40(1): …
additive models[J]. Journal of Guangxi Normal University (Natural Science Edition), 2022, 40(1): …
基于Jackknife 互信息的高维非线性回归模型研究
张治飞， 段谦， 刘乃嘉， 黄磊 - 《 广西师范大学学报》(自然科学版 …, 2022 - gxsf.magtech.com.cn
… Independence Screening (SIS) has been widely used in the variable selection of linear
regression models in ultra-high dimensional … of generalized linear regression models. However, …
regression models in ultra-high dimensional … of generalized linear regression models. However, …
[HTML][HTML] 超高维异方差数据下基于边际经验似然的分位数特征筛选
刘漫雨， 黄彬， 刘佳乐 - 北京化工大学学报(自然科学版), 2023 - journal.buct.edu.cn
… Nonparametric independence screening in sparse ultra-high-dimensional additive
models[J]. Journal of the American Statistical Association, 2011, 106(494): 544-557. DOI:10.1198/jasa…
models[J]. Journal of the American Statistical Association, 2011, 106(494): 544-557. DOI:10.1198/jasa…