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Learning the smoothness of noisy curves with application to online curve
  estimation
v1v2 (latest)

Learning the smoothness of noisy curves with application to online curve estimation

8 September 2020
Steven Golovkine
N. Klutchnikoff
V. Patilea
ArXiv (abs)PDFHTML

Papers citing "Learning the smoothness of noisy curves with application to online curve estimation"

7 / 7 papers shown
Title
Probabilistic models and statistics for electronic financial markets in
  the digital age
Probabilistic models and statistics for electronic financial markets in the digital age
Markus Bibinger
62
0
0
11 Jun 2024
Learning the regularity of multivariate functional data
Learning the regularity of multivariate functional data
Omar Kassi
N. Klutchnikoff
V. Patilea
46
2
0
26 Jul 2023
Adaptive functional principal components analysis
Adaptive functional principal components analysis
Sunny G.W. Wang
V. Patilea
N. Klutchnikoff
58
4
0
28 Jun 2023
Optimal estimation of the rough Hurst parameter in additive noise
Optimal estimation of the rough Hurst parameter in additive noise
Grégoire Szymanski
53
6
0
25 May 2022
Adaptive estimation of irregular mean and covariance functions
Adaptive estimation of irregular mean and covariance functions
Steven Golovkine
N. Klutchnikoff
V. Patilea
OffRL
38
2
0
14 Aug 2021
FDApy: a Python package for functional data
FDApy: a Python package for functional data
Steven Golovkine
AI4CE
77
2
0
26 Jan 2021
Clustering multivariate functional data using unsupervised binary trees
Clustering multivariate functional data using unsupervised binary trees
Steven Golovkine
N. Klutchnikoff
V. Patilea
52
12
0
10 Dec 2020
1