A trend filtering method closely related to L1 trend filtering

被引:0
|
作者
Yamada, Hiroshi [1 ]
机构
[1] Hiroshima Univ, Dept Econ, Higashihiroshima 7398525, Japan
基金
日本学术振兴会;
关键词
L-1 trend filtering; Generalized lasso regression; Hodrick-Prescott filtering; Ridge regression; Penalized least squares; 1d fused lasso; Total variation denoising;
D O I
10.1007/s00181-017-1349-8
中图分类号
F [经济];
学科分类号
02 ;
摘要
The filtering method developed by Kim et al. ( SIAM Rev 51: 339-360, 2009), L-1 trend filtering, is attractive because it enables us to estimate a continuous piecewise linear trend. This paper introduces a new filtering method closely related to L-1 trend filtering in order to contribute to the accumulation of knowledge on L-1 trend filtering. We show that the piecewise linearity, which is the key feature of L-1 trend filtering, is derived from the new filtering. For this reason, we refer to the filtering as ` pure' L-1 trend filtering. We also demonstrate some other miscellaneous results concerning the new filtering.
引用
收藏
页码:1413 / 1423
页数:11
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