Tensor PCA for Factor Models
Fuente:
arXiv
Saved in:
| Main Authors: | Babii, Andrii, Ghysels, Eric, Pan, Junsu |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Binary Choice under Asymmetric Loss in a Data-Rich Environment: Theory and an Application to Algorithmic Fairness
by: Babii, Andrii, et al.
Published: (2020)
by: Babii, Andrii, et al.
Published: (2020)
Program Evaluation with Remotely Sensed Outcomes
by: Rambachan, Ashesh, et al.
Published: (2024)
by: Rambachan, Ashesh, et al.
Published: (2024)
Regression Discontinuity Design with Distribution-Valued Outcomes
by: Van Dijcke, David
Published: (2025)
by: Van Dijcke, David
Published: (2025)
Doubly robust estimation of causal effects for random object outcomes with continuous treatments
by: Bhattacharjee, Satarupa, et al.
Published: (2025)
by: Bhattacharjee, Satarupa, et al.
Published: (2025)
Beyond the Average: Distributional Causal Inference under Imperfect Compliance
by: Byambadalai, Undral, et al.
Published: (2025)
by: Byambadalai, Undral, et al.
Published: (2025)
Is completeness necessary? Estimation in nonidentified linear models
by: Babii, Andrii, et al.
Published: (2017)
by: Babii, Andrii, et al.
Published: (2017)
Spatiotemporal Autoregressive Models for Areal Compositional Data
by: Eckardt, Matthias, et al.
Published: (2025)
by: Eckardt, Matthias, et al.
Published: (2025)
Functional Partial Least-Squares: Adaptive Estimation and Inference
by: Babii, Andrii, et al.
Published: (2024)
by: Babii, Andrii, et al.
Published: (2024)
Local Projection Inference in High Dimensions
by: Adamek, Robert, et al.
Published: (2022)
by: Adamek, Robert, et al.
Published: (2022)
Estimation and Inference in Boundary Discontinuity Designs: Location-Based Methods
by: Cattaneo, Matias D., et al.
Published: (2025)
by: Cattaneo, Matias D., et al.
Published: (2025)
Introducing the b-value: combining unbiased and biased estimators from a sensitivity analysis perspective
by: Lin, Zhexiao, et al.
Published: (2026)
by: Lin, Zhexiao, et al.
Published: (2026)
Rectified Linear Unit Regression
by: Oka, Tatsushi
Published: (2026)
by: Oka, Tatsushi
Published: (2026)
A Unified Framework for Estimation of High-dimensional Conditional Factor Models
by: Chen, Qihui
Published: (2022)
by: Chen, Qihui
Published: (2022)
Estimation and Inference for CP Tensor Factor Models
by: Chen, Bin, et al.
Published: (2024)
by: Chen, Bin, et al.
Published: (2024)
The Local Approach to Causal Inference under Network Interference
by: Auerbach, Eric, et al.
Published: (2021)
by: Auerbach, Eric, et al.
Published: (2021)
Threshold Tensor Factor Model in CP Form
by: Bolivar, Stevenson, et al.
Published: (2025)
by: Bolivar, Stevenson, et al.
Published: (2025)
Combining Experimental and Observational Data for Identification and Estimation of Long-Term Causal Effects
by: Ghassami, AmirEmad, et al.
Published: (2022)
by: Ghassami, AmirEmad, et al.
Published: (2022)
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)
Minimax Optimal Simple Regret in Two-Armed Best-Arm Identification
by: Kato, Masahiro
Published: (2024)
by: Kato, Masahiro
Published: (2024)
Bayesian Semi-supervised Inference via a Debiased Modeling Approach
by: Sert, Gözde, et al.
Published: (2025)
by: Sert, Gözde, et al.
Published: (2025)
Modeling Covariate Transition for Efficient Estimation of Longitudinal Treatment Effects in Randomized Experiments
by: Chihara, Naoki, et al.
Published: (2026)
by: Chihara, Naoki, et al.
Published: (2026)
Near-Optimal Non-Parametric Sequential Tests and Confidence Sequences with Possibly Dependent Observations
by: Bibaut, Aurelien, et al.
Published: (2022)
by: Bibaut, Aurelien, et al.
Published: (2022)
Distance and Kernel-Based Measures for Global and Local Two-Sample Conditional Distribution Testing
by: Yan, Jian, et al.
Published: (2022)
by: Yan, Jian, et al.
Published: (2022)
Riesz Regression As Direct Density Ratio Estimation
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
Semi-Supervised Treatment Effect Estimation with Unlabeled Covariates for Prediction-Powered Causal Inference
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
The Role of Contextual Information in Best Arm Identification
by: Kato, Masahiro, et al.
Published: (2021)
by: Kato, Masahiro, et al.
Published: (2021)
Double Machine Learning of Continuous Treatment Effects with General Instrumental Variables
by: Chen, Shuyuan, et al.
Published: (2026)
by: Chen, Shuyuan, et al.
Published: (2026)
Nearest Neighbor Matching as Least Squares Density Ratio Estimation and Riesz Regression
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
Covariate Balancing and Riesz Regression Should Be Guided by the Neyman Orthogonal Score in Debiased Machine Learning
by: Kato, Masahiro
Published: (2026)
by: Kato, Masahiro
Published: (2026)
General Bayesian Policy Learning
by: Kato, Masahiro
Published: (2026)
by: Kato, Masahiro
Published: (2026)
Direct Bias-Correction Term Estimation for Average Treatment Effect Estimation
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
Minimax and Bayes Optimal Best-Arm Identification
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
Identification and Debiased Learning of Causal Effects with General Instrumental Variables
by: Chen, Shuyuan, et al.
Published: (2025)
by: Chen, Shuyuan, et al.
Published: (2025)
Dynamic covariate balancing: estimating treatment effects over time with potential local projections
by: Viviano, Davide, et al.
Published: (2021)
by: Viviano, Davide, et al.
Published: (2021)
Locally Optimal Fixed-Budget Best Arm Identification in Two-Armed Gaussian Bandits with Unknown Variances
by: Kato, Masahiro
Published: (2023)
by: Kato, Masahiro
Published: (2023)
Causal-Policy Forest for End-to-End Policy Learning
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
Debiased Nonparametric Regression for Statistical Inference and Distributionally Robustness
by: Kato, Masahiro
Published: (2024)
by: Kato, Masahiro
Published: (2024)
Direct Debiased Machine Learning via Bregman Divergence Minimization
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
A Unified Theory for Causal Inference: Direct Debiased Machine Learning via Bregman-Riesz Regression
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
It's Hard to Be Normal: The Impact of Noise on Structure-agnostic Estimation
by: Jin, Jikai, et al.
Published: (2025)
by: Jin, Jikai, et al.
Published: (2025)
Similar Items
-
Binary Choice under Asymmetric Loss in a Data-Rich Environment: Theory and an Application to Algorithmic Fairness
by: Babii, Andrii, et al.
Published: (2020) -
Program Evaluation with Remotely Sensed Outcomes
by: Rambachan, Ashesh, et al.
Published: (2024) -
Regression Discontinuity Design with Distribution-Valued Outcomes
by: Van Dijcke, David
Published: (2025) -
Doubly robust estimation of causal effects for random object outcomes with continuous treatments
by: Bhattacharjee, Satarupa, et al.
Published: (2025) -
Beyond the Average: Distributional Causal Inference under Imperfect Compliance
by: Byambadalai, Undral, et al.
Published: (2025)