当前位置：
X-MOL 学术
›
J. Comput. Graph. Stat.
›
论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Functional regression for densely observed data with novel regularization
Journal of Computational and Graphical Statistics ( IF 2.4 ) Pub Date : 2020-09-28 , DOI: 10.1080/10618600.2020.1807994 Ruiyan Luo 1 , Xin Qi 2
Journal of Computational and Graphical Statistics ( IF 2.4 ) Pub Date : 2020-09-28 , DOI: 10.1080/10618600.2020.1807994 Ruiyan Luo 1 , Xin Qi 2
Affiliation
Smoothness penalty is an efficient regularization method in functional data analysis. However, for a spiky coefficient function which may arise when densely observed spiky functional data are invol...
中文翻译：
具有新颖正则化的密集观测数据的函数回归
平滑惩罚是函数数据分析中一种有效的正则化方法。然而，对于在密集观测到的尖峰函数数据中涉及到尖峰系数函数时可能出现的尖峰系数函数...
更新日期：2020-09-28
中文翻译：
具有新颖正则化的密集观测数据的函数回归
平滑惩罚是函数数据分析中一种有效的正则化方法。然而，对于在密集观测到的尖峰函数数据中涉及到尖峰系数函数时可能出现的尖峰系数函数...
京公网安备 11010802027423号