Adaptive Long-Run Variance Thresholding for Sparse Covariance Estimation in High-Dimensional Time Series
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Wenhao, Gao, Zhaoxing |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Sparse Asymptotic PCA: Identifying Sparse Latent Factors Across Time Horizon in High-Dimensional Time Series
by: Gao, Zhaoxing
Published: (2024)
by: Gao, Zhaoxing
Published: (2024)
Valid Bayesian Inference based on Variance Weighted Projection for High-Dimensional Logistic Regression with Binary Covariates
by: Ojha, Abhishek, et al.
Published: (2024)
by: Ojha, Abhishek, et al.
Published: (2024)
Simultaneous Inference for Covariance and Precision Matrices of Long-Range Dependent Time Series
by: Zhai, Percy S., et al.
Published: (2026)
by: Zhai, Percy S., et al.
Published: (2026)
Covariance Regression with High-Dimensional Predictors
by: He, Yuheng, et al.
Published: (2024)
by: He, Yuheng, et al.
Published: (2024)
High-Dimensional Covariate-Dependent Discrete Graphical Models and Dynamic Ising Models
by: Roach, Lyndsay, et al.
Published: (2025)
by: Roach, Lyndsay, et al.
Published: (2025)
Testing Separability of High-Dimensional Covariance Matrices
by: Sung, Bongjung, et al.
Published: (2025)
by: Sung, Bongjung, et al.
Published: (2025)
Double-Estimation-Friendly Inference for High-Dimensional Measurement Error Models with Non-Sparse Adaptability
by: Cui, Shijie, et al.
Published: (2024)
by: Cui, Shijie, et al.
Published: (2024)
Frequency Domain Statistical Inference for High-Dimensional Time Series
by: Krampe, Jonas, et al.
Published: (2022)
by: Krampe, Jonas, et al.
Published: (2022)
Studentising Kendall's Tau: U-Statistic Estimators and Bias Correction for a Generalised Rank Variance-Covariance framework
by: Hurley, Landon
Published: (2023)
by: Hurley, Landon
Published: (2023)
High-dimensional Covariance Estimation by Pairwise Likelihood Truncation
by: Casa, Alessandro, et al.
Published: (2024)
by: Casa, Alessandro, et al.
Published: (2024)
High-Dimensional Block Diagonal Covariance Structure Detection Using Singular Vectors
by: Bauer, Jan O.
Published: (2022)
by: Bauer, Jan O.
Published: (2022)
Active Subsampling for Measurement-Constrained M-Estimation of Individualized Thresholds with High-Dimensional Data
by: Duan, Jingyi, et al.
Published: (2024)
by: Duan, Jingyi, et al.
Published: (2024)
On Statistical Inference for High-Dimensional Binary Time Series
by: Dai, Dehao, et al.
Published: (2025)
by: Dai, Dehao, et al.
Published: (2025)
Adaptive and Stratified Subsampling for High-Dimensional Robust Estimation
by: Mittal, Prateek, et al.
Published: (2024)
by: Mittal, Prateek, et al.
Published: (2024)
Order-Induced Variance in the Moving-Range Sigma Estimator: A Total-Variance Decomposition
by: Karl, Andrew T.
Published: (2026)
by: Karl, Andrew T.
Published: (2026)
Functional Adaptive Double-Sparsity Estimator for Functional Linear Regression Model with Multiple Functional Covariates
by: Cao, Cheng, et al.
Published: (2023)
by: Cao, Cheng, et al.
Published: (2023)
Variance Estimation for Weighted Average Treatment Effects
by: Li, Huiyue, et al.
Published: (2025)
by: Li, Huiyue, et al.
Published: (2025)
Sparse High-Dimensional Vector Autoregressive Bootstrap
by: Adamek, Robert, et al.
Published: (2023)
by: Adamek, Robert, et al.
Published: (2023)
Sparse Data-Driven Random Projection in Regression for High-Dimensional Data
by: Parzer, Roman, et al.
Published: (2023)
by: Parzer, Roman, et al.
Published: (2023)
Hypothesis Testing for Penalized Estimating Equations with Cross-Fitted Covariance Calibration
by: Zhou, Jing, et al.
Published: (2026)
by: Zhou, Jing, et al.
Published: (2026)
Simultaneous Sieve Estimation and Inference for Time-Varying Nonlinear Time Series Regression
by: Ding, Xiucai, et al.
Published: (2025)
by: Ding, Xiucai, et al.
Published: (2025)
Estimation and Inference for Change Points in Functional Regression Time Series
by: Kumar, Shivam, et al.
Published: (2024)
by: Kumar, Shivam, et al.
Published: (2024)
Denoising and Multilinear Projected-Estimation of High-Dimensional Matrix-Variate Factor Time Series
by: Gao, Zhaoxing, et al.
Published: (2023)
by: Gao, Zhaoxing, et al.
Published: (2023)
Causal Small Area Estimation with Survey-only Covariates
by: Ito, Tsubasa, et al.
Published: (2026)
by: Ito, Tsubasa, et al.
Published: (2026)
Factor Strength Estimation in Vector and Matrix Time Series Factor Models
by: Chen, Weilin, et al.
Published: (2024)
by: Chen, Weilin, et al.
Published: (2024)
AR-sieve Bootstrap for High-dimensional Time Series
by: Bi, Daning, et al.
Published: (2021)
by: Bi, Daning, et al.
Published: (2021)
High-Dimensional Single-Index Models: Link Estimation and Marginal Inference
by: Sawaya, Kazuma, et al.
Published: (2024)
by: Sawaya, Kazuma, et al.
Published: (2024)
Causal Inference with High-dimensional Discrete Covariates
by: Zeng, Zhenghao, et al.
Published: (2024)
by: Zeng, Zhenghao, et al.
Published: (2024)
A Two-Step Projection-Based Goodness-of-Fit Test for Ultra-High Dimensional Sparse Regressions
by: Tan, Falong, et al.
Published: (2024)
by: Tan, Falong, et al.
Published: (2024)
Variance Inference Beyond the Sandwich for Asymptotically Linear Estimators with Second-Order Remainders
by: Li, Lin, et al.
Published: (2026)
by: Li, Lin, et al.
Published: (2026)
Neyman Jackknife: Design-Based Variance Estimation for Causal Inference under Interference
by: Park, Bryan, et al.
Published: (2026)
by: Park, Bryan, et al.
Published: (2026)
Minimax-Optimal Spectral Clustering with Covariance Projection for High-Dimensional Anisotropic Mixtures
by: Huang, Chengzhu, et al.
Published: (2025)
by: Huang, Chengzhu, et al.
Published: (2025)
On the Estimation of Anisotropic Covariance Functions on Compact Two-Point Homogeneous Spaces
by: Caponera, Alessia
Published: (2025)
by: Caponera, Alessia
Published: (2025)
Debiased Inference for High-Dimensional Regression Models Based on Profile M-Estimation
by: Wang, Yi, et al.
Published: (2025)
by: Wang, Yi, et al.
Published: (2025)
HASOD: A Hybrid Adaptive Screening-Optimization Design for High-Dimensional Industrial Experiments
by: Pathak, Kumarjit
Published: (2026)
by: Pathak, Kumarjit
Published: (2026)
Asymmetric Space-Time Covariance Functions via Hierarchical Mixtures
by: Ma, Pulong
Published: (2025)
by: Ma, Pulong
Published: (2025)
Covariate Assisted Entity Ranking with Sparse Intrinsic Scores
by: Fan, Jianqing, et al.
Published: (2024)
by: Fan, Jianqing, et al.
Published: (2024)
Bayesian Learning of Relational Graph in Semiparametric High-dimensional Time Series
by: Roy, Arkaprava, et al.
Published: (2024)
by: Roy, Arkaprava, et al.
Published: (2024)
Wasserstein and Convex Gaussian Approximations for Non-stationary Time Series of Diverging Dimensionality
by: Liu, Miaoshiqi, et al.
Published: (2025)
by: Liu, Miaoshiqi, et al.
Published: (2025)
Debiased Inverse Propensity Score Weighting for Estimation of Average Treatment Effects with High-Dimensional Confounders
by: Wang, Yuhao, et al.
Published: (2020)
by: Wang, Yuhao, et al.
Published: (2020)
Similar Items
-
Sparse Asymptotic PCA: Identifying Sparse Latent Factors Across Time Horizon in High-Dimensional Time Series
by: Gao, Zhaoxing
Published: (2024) -
Valid Bayesian Inference based on Variance Weighted Projection for High-Dimensional Logistic Regression with Binary Covariates
by: Ojha, Abhishek, et al.
Published: (2024) -
Simultaneous Inference for Covariance and Precision Matrices of Long-Range Dependent Time Series
by: Zhai, Percy S., et al.
Published: (2026) -
Covariance Regression with High-Dimensional Predictors
by: He, Yuheng, et al.
Published: (2024) -
High-Dimensional Covariate-Dependent Discrete Graphical Models and Dynamic Ising Models
by: Roach, Lyndsay, et al.
Published: (2025)