Saved in:
| Main Authors: | Zhu, Xianghe, Yao, Qiwei |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.16966 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Spatio-Temporal Autoregressions for High Dimensional Matrix-Valued Time Series
by: Dou, Baojun, et al.
Published: (2025)
by: Dou, Baojun, et al.
Published: (2025)
Autoregressive networks with dependent edges
by: Chang, Jinyuan, et al.
Published: (2024)
by: Chang, Jinyuan, et al.
Published: (2024)
Modeling Hypergraphs with Diversity and Heterogeneous Popularity
by: Yu, Xianshi, et al.
Published: (2025)
by: Yu, Xianshi, et al.
Published: (2025)
HDTSA: An R package for high-dimensional time series analysis
by: Chang, Jinyuan, et al.
Published: (2024)
by: Chang, Jinyuan, et al.
Published: (2024)
Generalized Bayesian nonparametric clustering framework for high-dimensional spatial omics data
by: Zhu, Bencong, et al.
Published: (2024)
by: Zhu, Bencong, et al.
Published: (2024)
Denoising Diffused Embeddings: a Generative Approach for Hypergraphs
by: Wu, Shihao, et al.
Published: (2025)
by: Wu, Shihao, 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)
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)
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)
Identification and estimation for matrix time series CP-factor models
by: Chang, Jinyuan, et al.
Published: (2024)
by: Chang, Jinyuan, et al.
Published: (2024)
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)
Modeling Non-Uniform Hypergraphs Using Determinantal Point Processes
by: Chen, Yichao, et al.
Published: (2025)
by: Chen, Yichao, et al.
Published: (2025)
SARMA: Scalable Low-Rank High-Dimensional Autoregressive Moving Averages via Tensor Decomposition
by: Huang, Feiqing, et al.
Published: (2024)
by: Huang, Feiqing, et al.
Published: (2024)
An Interpretable and Efficient Infinite-Order Vector Autoregressive Model for High-Dimensional Time Series
by: Zheng, Yao
Published: (2022)
by: Zheng, Yao
Published: (2022)
Two-way Homogeneity Pursuit for Quantile Network Vector Autoregression
by: Liu, Wenyang, et al.
Published: (2024)
by: Liu, Wenyang, et al.
Published: (2024)
Multi-relational Network Autoregression Model with Latent Group Structures
by: Ren, Yimeng, et al.
Published: (2024)
by: Ren, Yimeng, et al.
Published: (2024)
A General Latent Embedding Approach for Modeling Non-uniform High-dimensional Sparse Hypergraphs with Multiplicity
by: Wu, Shihao, et al.
Published: (2024)
by: Wu, Shihao, et al.
Published: (2024)
High-Dimensional Spatial Autoregression with Latent Factors by Diversified Projections
by: Shi, Jiaxin, et al.
Published: (2025)
by: Shi, Jiaxin, et al.
Published: (2025)
Hypergraph adjusted plus-minus
by: Josephs, Nathaniel, et al.
Published: (2024)
by: Josephs, Nathaniel, et al.
Published: (2024)
Edge differentially private estimation in the $β$-model via jittering and method of moments
by: Chang, Jinyuan, et al.
Published: (2021)
by: Chang, Jinyuan, et al.
Published: (2021)
Causal Inference for Network Autoregression Model: A Targeted Minimum Loss Estimation Approach
by: Wu, Yong, et al.
Published: (2025)
by: Wu, Yong, et al.
Published: (2025)
Diagnostic Checking for Wasserstein Autoregression
by: Dai, Chenxiao, et al.
Published: (2025)
by: Dai, Chenxiao, et al.
Published: (2025)
Cointegrated Matrix Autoregression Models
by: Li, Zebang, et al.
Published: (2024)
by: Li, Zebang, et al.
Published: (2024)
Quasi-maximum Likelihood Inference for Linear Double Autoregressive Models
by: Liu, Hua, et al.
Published: (2020)
by: Liu, Hua, et al.
Published: (2020)
Functional Autoregression Without Truncation: A Continuous-Regularization Approach
by: Zhao, Yao
Published: (2026)
by: Zhao, Yao
Published: (2026)
On Data Sharpening in Nonparametric Autoregressive Models
by: Snyman, Simon, et al.
Published: (2025)
by: Snyman, Simon, et al.
Published: (2025)
Scalable Sample-to-Population Estimation of Hyperbolic Space Models for Hypergraphs
by: Fritz, Cornelius, et al.
Published: (2025)
by: Fritz, Cornelius, et al.
Published: (2025)
Time-varying Parameter Tensor Vector Autoregression
by: Luo, Yiyong, et al.
Published: (2025)
by: Luo, Yiyong, et al.
Published: (2025)
Quantile-Crossing Spectrum and Spline Autoregression Estimation
by: Li, Ta-Hsin
Published: (2024)
by: Li, Ta-Hsin
Published: (2024)
Spatial Autoregressive Model on a Dirichlet Distribution
by: Nguyen, Teo, et al.
Published: (2024)
by: Nguyen, Teo, et al.
Published: (2024)
An Autoregressive Model for Time Series of Random Objects
by: Bulté, Matthieu, et al.
Published: (2024)
by: Bulté, Matthieu, et al.
Published: (2024)
Two-way Matrix Autoregressive Model with Thresholds
by: Yu, Cheng, et al.
Published: (2024)
by: Yu, Cheng, et al.
Published: (2024)
Spline Autoregression Method for Estimation of Quantile Spectrum
by: Li, Ta-Hsin
Published: (2024)
by: Li, Ta-Hsin
Published: (2024)
Statistical Inference for Generalized Integer Autoregressive Processes
by: Kaur, Pashmeen, et al.
Published: (2024)
by: Kaur, Pashmeen, et al.
Published: (2024)
A Functional Coefficients Network Autoregressive Model
by: Yin, Hang, et al.
Published: (2024)
by: Yin, Hang, et al.
Published: (2024)
Bayesian modeling of co-occurrence microbial interaction networks
by: Bedi, Tejasv, et al.
Published: (2024)
by: Bedi, Tejasv, et al.
Published: (2024)
Quantile Vector Autoregression without Crossing
by: Ando, Tomohiro, et al.
Published: (2026)
by: Ando, Tomohiro, et al.
Published: (2026)
Privacy-Protected Spatial Autoregressive Model
by: Huang, Danyang, et al.
Published: (2024)
by: Huang, Danyang, et al.
Published: (2024)
Factor-Driven Network Informed Restricted Vector Autoregression
by: Martin, Brendan, et al.
Published: (2025)
by: Martin, Brendan, et al.
Published: (2025)
Change Point Detection for Functional Autoregressive Processes on the Sphere
by: Spoto, Federica, et al.
Published: (2025)
by: Spoto, Federica, et al.
Published: (2025)
Similar Items
-
Spatio-Temporal Autoregressions for High Dimensional Matrix-Valued Time Series
by: Dou, Baojun, et al.
Published: (2025) -
Autoregressive networks with dependent edges
by: Chang, Jinyuan, et al.
Published: (2024) -
Modeling Hypergraphs with Diversity and Heterogeneous Popularity
by: Yu, Xianshi, et al.
Published: (2025) -
HDTSA: An R package for high-dimensional time series analysis
by: Chang, Jinyuan, et al.
Published: (2024) -
Generalized Bayesian nonparametric clustering framework for high-dimensional spatial omics data
by: Zhu, Bencong, et al.
Published: (2024)