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Asymptotics of prediction in functional linear regression with
  functional outputs
v1v2v3 (latest)

Asymptotics of prediction in functional linear regression with functional outputs

16 October 2009
Christophe Crambes
André Mas
ArXiv (abs)PDFHTML

Papers citing "Asymptotics of prediction in functional linear regression with functional outputs"

16 / 16 papers shown
A Kernel-based Stochastic Approximation Framework for Nonlinear Operator Learning
A Kernel-based Stochastic Approximation Framework for Nonlinear Operator Learning
Jia-Qi Yang
Lei Shi
334
0
0
14 Sep 2025
Operator Learning: Algorithms and Analysis
Operator Learning: Algorithms and Analysis
Nikola B. Kovachki
S. Lanthaler
Andrew M. Stuart
572
83
0
24 Feb 2024
Manifold functional multiple regression model with LRD error term
Manifold functional multiple regression model with LRD error term
D. P. Ovalle-Muñoz
M. Ruiz-Medina
163
0
0
13 Feb 2024
Deep Spectral Q-learning with Application to Mobile Health
Deep Spectral Q-learning with Application to Mobile Health
Yuhe Gao
C. Shi
R. Song
200
0
0
03 Jan 2023
Minimax Optimal Kernel Operator Learning via Multilevel Training
Minimax Optimal Kernel Operator Learning via Multilevel TrainingInternational Conference on Learning Representations (ICLR), 2022
Jikai Jin
Yiping Lu
Jose H. Blanchet
Lexing Ying
365
14
0
28 Sep 2022
Nonlinear function-on-function regression by RKHS
Nonlinear function-on-function regression by RKHS
Peijun Sang
Bing Li
211
7
0
17 Jul 2022
Adaptive nonparametric estimation in the functional linear model with
  functional output
Adaptive nonparametric estimation in the functional linear model with functional output
G. Chagny
Anouar Meynaoui
Angelina Roche Lmrs
241
4
0
01 Mar 2022
Convergence Rates for Learning Linear Operators from Noisy Data
Convergence Rates for Learning Linear Operators from Noisy Data
Maarten V. de Hoop
Nikola B. Kovachki
Nicholas H. Nelsen
Andrew M. Stuart
445
68
0
27 Aug 2021
Estimating the conditional distribution in functional regression
  problems
Estimating the conditional distribution in functional regression problemsElectronic Journal of Statistics (EJS), 2021
Siegfried Hormann
T. Kuenzer
Gregory Rice
256
8
0
04 May 2021
A Small-Uniform Statistic for the Inference of Functional Linear
  Regressions
A Small-Uniform Statistic for the Inference of Functional Linear Regressions
Raymond C. W. Leung
Y. Tam
205
1
0
22 Feb 2021
Conditional Independence Testing in Hilbert Spaces with Applications to
  Functional Data Analysis
Conditional Independence Testing in Hilbert Spaces with Applications to Functional Data Analysis
A. Lundborg
Rajen Dinesh Shah
J. Peters
330
32
0
18 Jan 2021
PCA-based estimation for functional linear regression with functional
  responses
PCA-based estimation for functional linear regression with functional responses
Masaaki Imaizumi
Kengo Kato
340
49
0
01 Sep 2016
Optimal eigen expansions and uniform bounds
Optimal eigen expansions and uniform bounds
M. Jirak
627
18
0
05 Jan 2015
Non-asymptotic Adaptive Prediction in Functional Linear Models
Non-asymptotic Adaptive Prediction in Functional Linear ModelsJournal of Multivariate Analysis (J. Multivar. Anal.), 2013
Élodie Brunel
André Mas
A. Roche
278
19
0
14 Jan 2013
A note on estimation in Hilbertian linear models
A note on estimation in Hilbertian linear models
Siegfried Hormann
Łukasz Kidziński
499
37
0
14 Aug 2012
Convergence of Nonparametric Functional Regression Estimates with
  Functional Responses
Convergence of Nonparametric Functional Regression Estimates with Functional Responses
H. Lian
267
17
0
27 Nov 2011
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