A reproducing kernel Hilbert space approach to functional linear regression

12 November 2012

Papers citing "A reproducing kernel Hilbert space approach to functional linear regression"

12 / 12 papers shown

Title
Transfer Learning for Functional Mean Estimation: Phase Transition and Adaptive Algorithms T. T. Cai Dongwoo Kim Hongming Pu 45 7 0 22 Jan 2024
Online Regularized Learning Algorithm for Functional Data Yuan Mao Zheng-Chu Guo 11 4 0 24 Nov 2022
Statistical Optimality of Divide and Conquer Kernel-based Functional Linear Regression Jiading Liu Lei Shi 17 9 0 20 Nov 2022
A Unified Analysis of Multi-task Functional Linear Regression Models with Manifold Constraint and Composite Quadratic Penalty Shiyuan He Hanxuan Ye Kejun He 21 0 0 09 Nov 2022
On Hypothesis Transfer Learning of Functional Linear Models Haotian Lin M. Reimherr 18 3 0 09 Jun 2022
Functional linear and single-index models: A unified approach via Gaussian Stein identity Krishnakumar Balasubramanian Hans-Georg Müller Bharath K. Sriperumbudur 6 6 0 08 Jun 2022
Nonparametric Conditional Local Independence Testing Alexander Mangulad Christgau Lasse Petersen N. Hansen 14 8 0 25 Mar 2022
Kernel-based estimation for partially functional linear model: Minimax rates and randomized sketches Shaogao Lv Xin He Junhui Wang 10 1 0 18 Oct 2021
Learning Partial Differential Equations in Reproducing Kernel Hilbert Spaces George Stepaniants 43 15 0 26 Aug 2021
Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces Zita Marinho Anca Dragan Arun Byravan Byron Boots S. Srinivasa Geoffrey J. Gordon 32 66 0 14 Jan 2016
Estimation in functional linear quantile regression Kengo Kato 59 120 0 22 Feb 2012
Principal components analysis for sparsely observed correlated functional data using a kernel smoothing approach D. Paul Jie Peng 83 24 0 07 Jul 2008