Functional knockoffs selection with applications to functional data analysis in high dimensions
Fuente:
arXiv
Saved in:
| Main Authors: | Qiao, Xinghao, Long, Mingya, Li, Qizhai |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
An autocovariance-based learning framework for high-dimensional functional time series
by: Chang, Jinyuan, et al.
Published: (2020)
by: Chang, Jinyuan, et al.
Published: (2020)
On the modelling and prediction of high-dimensional functional time series
by: Chang, Jinyuan, et al.
Published: (2024)
by: Chang, Jinyuan, et al.
Published: (2024)
Large-scale Multiple Testing of Cross-covariance Functions with Applications to Functional Network Models
by: Fang, Qin, et al.
Published: (2024)
by: Fang, Qin, et al.
Published: (2024)
Controlling the false discovery rate in high-dimensional linear models using model-X knockoffs and $p$-values
by: Chang, Jinyuan, et al.
Published: (2025)
by: Chang, Jinyuan, et al.
Published: (2025)
Weight-calibrated estimation for factor models of high-dimensional time series
by: Qiao, Xinghao, et al.
Published: (2025)
by: Qiao, Xinghao, et al.
Published: (2025)
Network signflip parallel analysis for selecting the embedding dimension
by: Hong, David, et al.
Published: (2025)
by: Hong, David, et al.
Published: (2025)
On Robust Empirical Likelihood for Nonparametric Regression with Application to Regression Discontinuity Designs
by: Fang, Qin, et al.
Published: (2025)
by: Fang, Qin, et al.
Published: (2025)
Optimal covariance matrix estimation for high-dimensional noise in high-frequency data
by: Chang, Jinyuan, et al.
Published: (2018)
by: Chang, Jinyuan, et al.
Published: (2018)
Multiple change point detection in functional data with applications to biomechanical fatigue data
by: Bastian, Patrick, et al.
Published: (2023)
by: Bastian, Patrick, et al.
Published: (2023)
Strong Gaussian approximation for U-statistics in high dimensions and beyond
by: Li, Weijia, et al.
Published: (2026)
by: Li, Weijia, et al.
Published: (2026)
A nonparametric test of spherical symmetry applicable to high dimensional data
by: Banerjee, Bilol, et al.
Published: (2024)
by: Banerjee, Bilol, et al.
Published: (2024)
Exact distribution-free tests of spherical symmetry applicable to high dimensional data
by: Banerjee, Bilol, et al.
Published: (2024)
by: Banerjee, Bilol, et al.
Published: (2024)
Optimal estimation in private distributed functional data analysis
by: Xue, Gengyu, et al.
Published: (2024)
by: Xue, Gengyu, et al.
Published: (2024)
Principled Inference in Dense High-Dimensional Linear Models via Local Conditional Sparsity
by: Xiong, Wenjun, et al.
Published: (2026)
by: Xiong, Wenjun, et al.
Published: (2026)
Spectral analysis of high-dimensional spot volatility matrix with applications
by: Liu, Qiang, et al.
Published: (2025)
by: Liu, Qiang, et al.
Published: (2025)
HEDE: Heritability estimation in high dimensions by Ensembling Debiased Estimators
by: Song, Yanke, et al.
Published: (2024)
by: Song, Yanke, et al.
Published: (2024)
Sufficient dimension reduction for regression with spatially correlated errors: application to prediction
by: Forzani, Liliana, et al.
Published: (2025)
by: Forzani, Liliana, et al.
Published: (2025)
Estimating a distribution function for discrete data subject to random truncation with an application to structured finance
by: Lautier, Jackson P., et al.
Published: (2021)
by: Lautier, Jackson P., et al.
Published: (2021)
Testing independence and conditional independence in high dimensions via coordinatewise Gaussianization
by: Chang, Jinyuan, et al.
Published: (2025)
by: Chang, Jinyuan, et al.
Published: (2025)
A theory of ROC analysis of rule-out and rule-in diagnostics with applications to mammography data
by: Mastrianni, Michelle, et al.
Published: (2026)
by: Mastrianni, Michelle, et al.
Published: (2026)
Tests for white noise via asymptotically independent U-statistics in high-dimensions
by: Xu, Yuanya
Published: (2026)
by: Xu, Yuanya
Published: (2026)
From sparse to dense functional data in high dimensions: Revisiting phase transitions from a non-asymptotic perspective
by: Guo, Shaojun, et al.
Published: (2023)
by: Guo, Shaojun, et al.
Published: (2023)
Asymmetric canonical correlation analysis of Riemannian and high-dimensional data
by: Buenfil, James, et al.
Published: (2024)
by: Buenfil, James, et al.
Published: (2024)
Adaptive L-statistics for high dimensional test problem
by: Ma, Huifang, et al.
Published: (2024)
by: Ma, Huifang, et al.
Published: (2024)
Improving the adjusted Benjamini--Hochberg method using e-values in knockoff-assisted variable selection
by: Biswas, Aniket, et al.
Published: (2026)
by: Biswas, Aniket, et al.
Published: (2026)
Censored and extreme losses: functional convergence and applications to tail goodness-of-fit
by: Bladt, Martin, et al.
Published: (2024)
by: Bladt, Martin, et al.
Published: (2024)
Robust mean change point testing in high-dimensional data with heavy tails
by: Li, Mengchu, et al.
Published: (2023)
by: Li, Mengchu, et al.
Published: (2023)
Efficient estimation and data fusion under general semiparametric restrictions on outcome mean functions
by: Li, Harrison H.
Published: (2024)
by: Li, Harrison H.
Published: (2024)
Post-selection inference for high-dimensional mediation analysis with survival outcomes
by: Huang, Tzu-Jung, et al.
Published: (2024)
by: Huang, Tzu-Jung, et al.
Published: (2024)
Generalized projection tests for function-valued parameters with applications to testing structural causal assumptions
by: Wang, Rui, et al.
Published: (2026)
by: Wang, Rui, et al.
Published: (2026)
Fusion regression methods with repeated functional data
by: Moindjié, Issam-Ali, et al.
Published: (2023)
by: Moindjié, Issam-Ali, et al.
Published: (2023)
Two-sample inference for sparse functional data
by: Zhang, Chi, et al.
Published: (2023)
by: Zhang, Chi, et al.
Published: (2023)
Testing independence in the presence of missing data: high-dimensional case
by: Cuparić, Marija, et al.
Published: (2026)
by: Cuparić, Marija, et al.
Published: (2026)
Detection of mean changes in partially observed functional data
by: Hudecová, Šárka, et al.
Published: (2025)
by: Hudecová, Šárka, et al.
Published: (2025)
Root-n consistent semiparametric learning with high-dimensional nuisance functions under minimal sparsity
by: Liu, Lin, et al.
Published: (2023)
by: Liu, Lin, et al.
Published: (2023)
Basis expansion approaches for functional analysis of variance with repeated measures
by: Acal, Christian, et al.
Published: (2024)
by: Acal, Christian, et al.
Published: (2024)
The EAS approach to variable selection for multivariate response data in high-dimensional settings
by: Koner, Salil, et al.
Published: (2021)
by: Koner, Salil, et al.
Published: (2021)
Likelihood ratio tests in random graph models with increasing dimensions
by: Yan, Ting, et al.
Published: (2023)
by: Yan, Ting, et al.
Published: (2023)
Trade-off between predictive performance and FDR control for high-dimensional Gaussian model selection
by: Lacroix, Perrine, et al.
Published: (2023)
by: Lacroix, Perrine, et al.
Published: (2023)
Practically significant change points in high dimension -- measuring signal strength pro active component
by: Quanz, Pascal, et al.
Published: (2025)
by: Quanz, Pascal, et al.
Published: (2025)
Similar Items
-
An autocovariance-based learning framework for high-dimensional functional time series
by: Chang, Jinyuan, et al.
Published: (2020) -
On the modelling and prediction of high-dimensional functional time series
by: Chang, Jinyuan, et al.
Published: (2024) -
Large-scale Multiple Testing of Cross-covariance Functions with Applications to Functional Network Models
by: Fang, Qin, et al.
Published: (2024) -
Controlling the false discovery rate in high-dimensional linear models using model-X knockoffs and $p$-values
by: Chang, Jinyuan, et al.
Published: (2025) -
Weight-calibrated estimation for factor models of high-dimensional time series
by: Qiao, Xinghao, et al.
Published: (2025)