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A note on estimation in Hilbertian linear models

A note on estimation in Hilbertian linear models

14 August 2012
Siegfried Hormann
Łukasz Kidziński
ArXivPDFHTML

Papers citing "A note on estimation in Hilbertian linear models"

4 / 4 papers shown
Title
Learning linear operators: Infinite-dimensional regression as a
  well-behaved non-compact inverse problem
Learning linear operators: Infinite-dimensional regression as a well-behaved non-compact inverse problem
Mattes Mollenhauer
Nicole Mücke
T. Sullivan
22
24
0
16 Nov 2022
Minimax Optimal Kernel Operator Learning via Multilevel Training
Minimax Optimal Kernel Operator Learning via Multilevel Training
Jikai Jin
Yiping Lu
Jose H. Blanchet
Lexing Ying
23
11
0
28 Sep 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
19
54
0
27 Aug 2021
A reproducing kernel Hilbert space approach to functional linear
  regression
A reproducing kernel Hilbert space approach to functional linear regression
M. Yuan
Tommaso Cai
95
278
0
12 Nov 2012
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