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- Yu, Dengdeng; Zhang, Li; Mizera, Ivan; Jiang, Bei; Kong, Linglong
- Computational statistics & data analysis 2019 v.136 pp. 12-29
- algorithms; linear models; magnetic resonance imaging; multipliers; prediction; regression analysis; wavelet
- ... To study quantile regression in partial functional linear model where response is scalar and predictors include both scalars and multiple functions, wavelet basis are usually adopted to better approximate functional slopes while effectively detect local features. The sparse group lasso penalty is imposed to select important functional predictors while capture shared information among them. The est ...