Functional additive regression

14 October 2015

Papers citing "Functional additive regression"

27 / 27 papers shown

Title
Scalable High-Dimensional Multivariate Linear Regression for Feature-Distributed Data Shuo-chieh Huang R. Tsay 29 0 0 07 Jul 2023
From sparse to dense functional data in high dimensions: Revisiting phase transitions from a non-asymptotic perspective Shaojun Guo Dong Li Xinghao Qiao Yizhu Wang 14 1 0 01 Jun 2023
FAStEN: an efficient adaptive method for feature selection and estimation in high-dimensional functional regressions Tobia Boschi Lorenzo Testa Francesca Chiaromonte M. Reimherr 24 5 0 26 Mar 2023
Statistical Learning and Inverse Problems: A Stochastic Gradient Approach Yuri S. Fonseca Yuri F. Saporito 40 4 0 29 Sep 2022
Shape-constrained Estimation in Functional Regression with Bernstein Polynomials R. Ghosal Sujit Ghosh Jacek K. Urbanek J. Schrack V. Zipunnikov 27 15 0 09 Sep 2022
Functional Regression Models with Functional Response: New Approaches and a Comparative Study M. Febrero-Bande M. D. L. Fuente Mohammad Darbalaei M. Amini 11 0 0 11 Jul 2022
Estimation and inference for high-dimensional nonparametric additive instrumental-variables regression Ziang Niu Yuwen Gu Wei Li CML 27 2 0 31 Mar 2022
Model Averaging based Semiparametric Modelling for Conditional Quantile Prediction Chaohui Guo Wenyang Zhang 25 1 0 18 Mar 2022
Guaranteed Functional Tensor Singular Value Decomposition Rungang Han Pixu Shi Anru R. Zhang 34 20 0 09 Aug 2021
Modern Non-Linear Function-on-Function Regression Aniruddha Rajendra Rao M. Reimherr 11 19 0 29 Jul 2021
Non-linear Functional Modeling using Neural Networks Aniruddha Rajendra Rao M. Reimherr 22 29 0 19 Apr 2021
Conditional Independence Testing in Hilbert Spaces with Applications to Functional Data Analysis A. Lundborg Rajen Dinesh Shah J. Peters 15 23 0 18 Jan 2021
Modern Multiple Imputation with Functional Data Aniruddha Rajendra Rao M. Reimherr 13 13 0 25 Nov 2020
An autocovariance-based learning framework for high-dimensional functional time series Jinyuan Chang Cheng Chen Xinghao Qiao Qiwei Yao AI4TS 22 13 0 29 Aug 2020
Finite Sample Theory for High-Dimensional Functional/Scalar Time Series with Applications Qin Fang Shaojun Guo Xinghao Qiao 17 7 0 16 Apr 2020
Dimension Independent Generalization Error by Stochastic Gradient Descent Xi Chen Qiang Liu Xin T. Tong 13 1 0 25 Mar 2020
On Consistency and Sparsity for High-Dimensional Functional Time Series with Application to Autoregressions Shaojun Guo Xinghao Qiao AI4TS 18 11 0 23 Mar 2020
Statistical Inference for High Dimensional Panel Functional Time Series Zhou Zhou Holger Dette 29 14 0 12 Mar 2020
Kernel Mode Decomposition and programmable/interpretable regression networks H. Owhadi C. Scovel G. Yoo 14 5 0 19 Jul 2019
Adaptive Function-on-Scalar Regression with a Smoothing Elastic Net Ardalan Mirshani M. Reimherr 16 6 0 23 May 2019
A General Theory for Large-Scale Curve Time Series via Functional Stability Measure Shaojun Guo Xinghao Qiao 56 3 0 18 Dec 2018
Optimal Prediction for Additive Function-on-Function Regression M. Reimherr Bharath K. Sriperumbudur Bahaeddine Taoufik 18 22 0 10 Aug 2017
Honest Confidence Sets in Nonparametric IV Regression and Other Ill-Posed Models Andrii Babii 29 13 0 09 Nov 2016
High-Dimensional Adaptive Function-on-Scalar Regression Zhaohu Fan M. Reimherr 33 41 0 24 Oct 2016
The Function-on-Scalar LASSO with Applications to Longitudinal GWAS Rina Foygel Barber M. Reimherr T. Schill 20 52 0 24 Oct 2016
Functional Regression Jeffrey S. Morris OffRL 54 441 0 16 Jun 2014
High-dimensional additive modeling L. Meier Sara van de Geer Peter Buhlmann 195 481 0 25 Jun 2008