Factor Strength Estimation in Vector and Matrix Time Series Factor Models
Fuente:
arXiv
Guardado en:
| Autores principales: | Chen, Weilin, Lam, Clifford |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Modewise Additive Factor Model for Matrix Time Series
por: Chen, Elynn, et al.
Publicado: (2025)
por: Chen, Elynn, et al.
Publicado: (2025)
Matrix-valued Factor Model with Time-varying Main Effects
por: Lam, Clifford, et al.
Publicado: (2024)
por: Lam, Clifford, et al.
Publicado: (2024)
Tensor Time Series Imputation through Tensor Factor Modelling
por: Cen, Zetai, et al.
Publicado: (2024)
por: Cen, Zetai, et al.
Publicado: (2024)
Sparsity of the Main Effect Matrix Factor Model
por: Cen, Zetai, et al.
Publicado: (2025)
por: Cen, Zetai, et al.
Publicado: (2025)
A Unified Approach to Statistical Estimation Under Nonlinear Observations: Tensor Estimation and Matrix Factorization
por: Chen, Junren, et al.
Publicado: (2025)
por: Chen, Junren, et al.
Publicado: (2025)
Estimation and Inference for CP Tensor Factor Models
por: Chen, Bin, et al.
Publicado: (2024)
por: Chen, Bin, et al.
Publicado: (2024)
Inference on Dynamic Spatial Autoregressive Models with Change Point Detection
por: Cen, Zetai, et al.
Publicado: (2024)
por: Cen, Zetai, et al.
Publicado: (2024)
On Testing Kronecker Product Structure in Tensor Factor Models
por: Cen, Zetai, et al.
Publicado: (2025)
por: Cen, Zetai, et al.
Publicado: (2025)
Estimation of High-dimensional Nonlinear Vector Autoregressive Models
por: Han, Yuefeng, et al.
Publicado: (2025)
por: Han, Yuefeng, et al.
Publicado: (2025)
Simultaneous Sieve Estimation and Inference for Time-Varying Nonlinear Time Series Regression
por: Ding, Xiucai, et al.
Publicado: (2025)
por: Ding, Xiucai, et al.
Publicado: (2025)
Estimation and Inference for Change Points in Functional Regression Time Series
por: Kumar, Shivam, et al.
Publicado: (2024)
por: Kumar, Shivam, et al.
Publicado: (2024)
Uncertainty Quantification and Confidence Intervals for Naive Rare-Event Estimators
por: Bai, Yuanlu, et al.
Publicado: (2023)
por: Bai, Yuanlu, et al.
Publicado: (2023)
How to Measure Evidence and Its Strength: Bayes Factors or Relative Belief Ratios?
por: Al-Labadi, Luai, et al.
Publicado: (2023)
por: Al-Labadi, Luai, et al.
Publicado: (2023)
Adaptive Long-Run Variance Thresholding for Sparse Covariance Estimation in High-Dimensional Time Series
por: Zhang, Wenhao, et al.
Publicado: (2026)
por: Zhang, Wenhao, et al.
Publicado: (2026)
Dynamic Factor Analysis of High-dimensional Recurrent Events
por: Chen, Fangyi, et al.
Publicado: (2024)
por: Chen, Fangyi, et al.
Publicado: (2024)
Model Selection for Unit-root Time Series with Many Predictors
por: Huang, Shuo-Chieh, et al.
Publicado: (2025)
por: Huang, Shuo-Chieh, et al.
Publicado: (2025)
The Spurious Factor Dilemma: Robust Inference in Heavy-Tailed Elliptical Factor Models
por: Hu, Jiang, et al.
Publicado: (2025)
por: Hu, Jiang, et al.
Publicado: (2025)
Exploratory Hierarchical Factor Analysis with an Application to Psychological Measurement
por: Qiao, Jiawei, et al.
Publicado: (2025)
por: Qiao, Jiawei, et al.
Publicado: (2025)
Estimation of the Spectral Measure from ConvexCombinations of Regularly Varying RandomVectors
por: Oesting, Marco, et al.
Publicado: (2020)
por: Oesting, Marco, et al.
Publicado: (2020)
Monitoring Time Series for Relevant Changes
por: Bastian, Patrick, et al.
Publicado: (2025)
por: Bastian, Patrick, et al.
Publicado: (2025)
A Simple and Effective Random Forest Modelling for Nonlinear Time Series Data
por: Zhang, Shihao, et al.
Publicado: (2025)
por: Zhang, Shihao, et al.
Publicado: (2025)
Detection and Mode-Identification of Multiple Change Points in Tensor Factor Models
por: Zhang, Yuqi, et al.
Publicado: (2026)
por: Zhang, Yuqi, et al.
Publicado: (2026)
High Dimensional Factor Analysis with Weak Factors
por: Choi, Jungjun, et al.
Publicado: (2024)
por: Choi, Jungjun, et al.
Publicado: (2024)
Mixture Matrix-valued Autoregressive Model
por: Wu, Fei, et al.
Publicado: (2023)
por: Wu, Fei, et al.
Publicado: (2023)
Estimating Counterfactual Matrix Means with Short Panel Data
por: Lei, Lihua, et al.
Publicado: (2023)
por: Lei, Lihua, et al.
Publicado: (2023)
Change-Point Detection for Object-valued Time Series
por: Zhang, Yi, et al.
Publicado: (2026)
por: Zhang, Yi, et al.
Publicado: (2026)
AR-sieve Bootstrap for High-dimensional Time Series
por: Bi, Daning, et al.
Publicado: (2021)
por: Bi, Daning, et al.
Publicado: (2021)
Resampling-free Inference for Time Series via RKHS Embedding
por: Ghoshal, Deep, et al.
Publicado: (2026)
por: Ghoshal, Deep, et al.
Publicado: (2026)
Frequency Domain Statistical Inference for High-Dimensional Time Series
por: Krampe, Jonas, et al.
Publicado: (2022)
por: Krampe, Jonas, et al.
Publicado: (2022)
Is Cross-Validation the Gold Standard to Evaluate Model Performance?
por: Iyengar, Garud, et al.
Publicado: (2024)
por: Iyengar, Garud, et al.
Publicado: (2024)
Sequential Change-point Detection for Compositional Time Series with Exogenous Variables
por: Liu, Yajun, et al.
Publicado: (2024)
por: Liu, Yajun, et al.
Publicado: (2024)
Bayesian Learning of Relational Graph in Semiparametric High-dimensional Time Series
por: Roy, Arkaprava, et al.
Publicado: (2024)
por: Roy, Arkaprava, et al.
Publicado: (2024)
Inference for Multiple Change-points in Piecewise Locally Stationary Time Series
por: Ng, Wai Leong, et al.
Publicado: (2026)
por: Ng, Wai Leong, et al.
Publicado: (2026)
Quantifying Distributional Input Uncertainty via Inflated Kolmogorov-Smirnov Confidence Band
por: Chen, Motong, et al.
Publicado: (2024)
por: Chen, Motong, et al.
Publicado: (2024)
Time-Uniform Self-Normalized Concentration for Vector-Valued Processes
por: Whitehouse, Justin, et al.
Publicado: (2023)
por: Whitehouse, Justin, et al.
Publicado: (2023)
Rotational Uniqueness Conditions Under Oblique Factor Correlation Metric
por: Peeters, Carel F. W.
Publicado: (2019)
por: Peeters, Carel F. W.
Publicado: (2019)
Expected Weighted D-optimal Designs for Experiments with Mixed Factors
por: Lin, Siting, et al.
Publicado: (2025)
por: Lin, Siting, et al.
Publicado: (2025)
Simultaneous Inference for Covariance and Precision Matrices of Long-Range Dependent Time Series
por: Zhai, Percy S., et al.
Publicado: (2026)
por: Zhai, Percy S., et al.
Publicado: (2026)
Simultaneous Inference for Nonlinear Time Series, a Sieve M-regression Approach
por: Luo, Tianpai, et al.
Publicado: (2026)
por: Luo, Tianpai, et al.
Publicado: (2026)
Optimality of the Half-Order Exponent in the Turing-Good Identities for Bayes Factors
por: Okada, Kensuke
Publicado: (2026)
por: Okada, Kensuke
Publicado: (2026)
Ejemplares similares
-
Modewise Additive Factor Model for Matrix Time Series
por: Chen, Elynn, et al.
Publicado: (2025) -
Matrix-valued Factor Model with Time-varying Main Effects
por: Lam, Clifford, et al.
Publicado: (2024) -
Tensor Time Series Imputation through Tensor Factor Modelling
por: Cen, Zetai, et al.
Publicado: (2024) -
Sparsity of the Main Effect Matrix Factor Model
por: Cen, Zetai, et al.
Publicado: (2025) -
A Unified Approach to Statistical Estimation Under Nonlinear Observations: Tensor Estimation and Matrix Factorization
por: Chen, Junren, et al.
Publicado: (2025)