Minimax estimation of Functional Principal Components from noisy discretized functional data
Fuente:
arXiv
Saved in:
| Main Authors: | Belhakem, Ryad, Picard, Franck, Rivoirard, Vincent, Roche, Angelina |
|---|---|
| Format: | Preprint |
| Published: |
2021
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Minimax estimation of functional principal components from noisy discretized functional data
by: Ryad Belhakem, et al.
Published: (2024)
by: Ryad Belhakem, et al.
Published: (2024)
Minimax estimation of Functional Principal Components from noisy discretized functional data: the case of smooth processes
by: Bourarach, Nassim, et al.
Published: (2026)
by: Bourarach, Nassim, et al.
Published: (2026)
PCA for Point Processes
by: Picard, Franck, et al.
Published: (2024)
by: Picard, Franck, et al.
Published: (2024)
Non-asymptotic two-sample kernel testing with the spectrally truncated normalized MMD
by: Lacroix, Perrine, et al.
Published: (2026)
by: Lacroix, Perrine, et al.
Published: (2026)
Fast Bayesian Functional Principal Components Analysis
by: Sartini, Joseph, et al.
Published: (2024)
by: Sartini, Joseph, et al.
Published: (2024)
Robust Bayesian Functional Principal Component Analysis
by: Zhang, Jiarui, et al.
Published: (2023)
by: Zhang, Jiarui, et al.
Published: (2023)
Generalized Conditional Functional Principal Component Analysis
by: Lu, Yu, et al.
Published: (2024)
by: Lu, Yu, et al.
Published: (2024)
Estimation of Functional Principal Components from Sparse Functional Data
by: Mbaka, Uche, et al.
Published: (2026)
by: Mbaka, Uche, et al.
Published: (2026)
Functional Principal Component Analysis for Distribution-Valued Processes
by: Zhou, Hang, et al.
Published: (2023)
by: Zhou, Hang, et al.
Published: (2023)
Variable Domain Multivariate Functional Principal Component Analysis
by: Amaro, Pavel Hernández, et al.
Published: (2026)
by: Amaro, Pavel Hernández, et al.
Published: (2026)
Bayesian Multivariate Sparse Functional Principal Components Analysis
by: Sartini, Joseph, et al.
Published: (2025)
by: Sartini, Joseph, et al.
Published: (2025)
Functional Principal Component Analysis for Sparse Censored Data
by: Murphy, Caitrin, et al.
Published: (2024)
by: Murphy, Caitrin, et al.
Published: (2024)
Estimation of Multivariate Functional Principal Components from Sparse Functional Data
by: Mbaka, Uche, et al.
Published: (2026)
by: Mbaka, Uche, et al.
Published: (2026)
Localized Functional Principal Component Analysis Based on Covariance Structure
by: Battagliola, Maria Laura, et al.
Published: (2025)
by: Battagliola, Maria Laura, et al.
Published: (2025)
Graphical Principal Component Analysis of Multivariate Functional Time Series
by: Tan, Jianbin, et al.
Published: (2024)
by: Tan, Jianbin, et al.
Published: (2024)
Principal Component Analysis of Two-dimensional Functional Data with Serial Correlation
by: Shen, Shirun, et al.
Published: (2023)
by: Shen, Shirun, et al.
Published: (2023)
A Unified Principal Components Analysis for Stationary Functional Time Series
by: Guo, Zerui, et al.
Published: (2024)
by: Guo, Zerui, et al.
Published: (2024)
Extrinsic Principal Component Analysis
by: Wong, Ka Chun, et al.
Published: (2024)
by: Wong, Ka Chun, et al.
Published: (2024)
Density estimation with atoms, and functional estimation for mixed discrete-continuous data
by: Saha, Aytijhya, et al.
Published: (2025)
by: Saha, Aytijhya, et al.
Published: (2025)
Spatial Principal Component Analysis and Moran Statistics for Multivariate Functional Areal Data
by: Pathmanathan, Dharini, et al.
Published: (2024)
by: Pathmanathan, Dharini, et al.
Published: (2024)
Covariate-Dependent Functional Principal Component Analysis for SHM
by: Wittenberg, Philipp, et al.
Published: (2026)
by: Wittenberg, Philipp, et al.
Published: (2026)
Online Functional Principal Component Analysis on a Multidimensional Domain
by: Nanshan, Muye, et al.
Published: (2025)
by: Nanshan, Muye, et al.
Published: (2025)
Principal Component Analysis for Equation Discovery
by: Marzban, Caren, et al.
Published: (2024)
by: Marzban, Caren, et al.
Published: (2024)
MML Probabilistic Principal Component Analysis
by: Makalic, Enes, et al.
Published: (2022)
by: Makalic, Enes, et al.
Published: (2022)
Conformalized Robust Principal Component Analysis
by: Yuan, Liangliang, et al.
Published: (2026)
by: Yuan, Liangliang, et al.
Published: (2026)
Principal Component Analysis in the Graph Frequency Domain
by: Kim, Kyusoon, et al.
Published: (2024)
by: Kim, Kyusoon, et al.
Published: (2024)
Dynamic Supervised Principal Component Analysis for Classification
by: Ouyang, Wenbo, et al.
Published: (2024)
by: Ouyang, Wenbo, et al.
Published: (2024)
Asymptotic equivalence of Principal Components and Quasi Maximum Likelihood estimators in Large Approximate Factor Models
by: Barigozzi, Matteo
Published: (2023)
by: Barigozzi, Matteo
Published: (2023)
Dynamic Prediction of High-density Generalized Functional Data with Fast Generalized Functional Principal Component Analysis
by: Jin, Ying, et al.
Published: (2024)
by: Jin, Ying, et al.
Published: (2024)
Generalized Multilevel Functional Principal Component Analysis with Application to NHANES Active Inactive Patterns
by: Zhou, Xinkai, et al.
Published: (2023)
by: Zhou, Xinkai, et al.
Published: (2023)
Beyond Regularization: Inherently Sparse Principal Component Analysis
by: Bauer, Jan O.
Published: (2025)
by: Bauer, Jan O.
Published: (2025)
Robust Functional Principal Component Analysis for Non-Euclidean Random Objects
by: Xu, Jiazhen, et al.
Published: (2023)
by: Xu, Jiazhen, et al.
Published: (2023)
Robust Principal Components by Casewise and Cellwise Weighting
by: Centofanti, Fabio, et al.
Published: (2024)
by: Centofanti, Fabio, et al.
Published: (2024)
Estimating the construct validity of Principal Components Analysis
by: Hope, Thomas M. H., et al.
Published: (2024)
by: Hope, Thomas M. H., et al.
Published: (2024)
Minimax rates for the linear-in-means model reveal an identifiability-estimability gap
by: Hayes, Alex, et al.
Published: (2024)
by: Hayes, Alex, et al.
Published: (2024)
Minimax unbiased estimation for finite populations with bounded outcomes
by: Aronow, P. M., et al.
Published: (2026)
by: Aronow, P. M., et al.
Published: (2026)
Calibration with Bagging of the Principal Components on a Large Number of Auxiliary Variables
by: Hasler, Caren, et al.
Published: (2025)
by: Hasler, Caren, et al.
Published: (2025)
Spatial Sign based Principal Component Analysis for High Dimensional Data
by: Zhao, Ping, et al.
Published: (2024)
by: Zhao, Ping, et al.
Published: (2024)
FunctionalCalibration: an R package for estimation in aggregated functional data model
by: Sousa, Alex Rodrigo dos Santos, et al.
Published: (2026)
by: Sousa, Alex Rodrigo dos Santos, et al.
Published: (2026)
Distributed Tensor Principal Component Analysis with Data Heterogeneity
by: Chen, Elynn, et al.
Published: (2024)
by: Chen, Elynn, et al.
Published: (2024)
Similar Items
-
Minimax estimation of functional principal components from noisy discretized functional data
by: Ryad Belhakem, et al.
Published: (2024) -
Minimax estimation of Functional Principal Components from noisy discretized functional data: the case of smooth processes
by: Bourarach, Nassim, et al.
Published: (2026) -
PCA for Point Processes
by: Picard, Franck, et al.
Published: (2024) -
Non-asymptotic two-sample kernel testing with the spectrally truncated normalized MMD
by: Lacroix, Perrine, et al.
Published: (2026) -
Fast Bayesian Functional Principal Components Analysis
by: Sartini, Joseph, et al.
Published: (2024)