Spatially Varying Coefficient Mallows Model Averaging
Fuente:
arXiv
Saved in:
| Main Authors: | Yong, Zhuang, Jing, Lv, Li, Tingting |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Minimax estimation for Varying Coefficient Model via Laguerre Series
by: Benhaddou, Rida, et al.
Published: (2026)
by: Benhaddou, Rida, et al.
Published: (2026)
Group-Sparse Smoothing for Longitudinal Models with Time-Varying Coefficients
by: Lu, Yu, et al.
Published: (2026)
by: Lu, Yu, et al.
Published: (2026)
Bayesian Dynamic Quantile Model Averaging
by: Bernardi, Mauro, et al.
Published: (2016)
by: Bernardi, Mauro, et al.
Published: (2016)
Identifiability of Treatment Effects with Unobserved Spatially Varying Confounders
by: Tang, Tommy, et al.
Published: (2026)
by: Tang, Tommy, et al.
Published: (2026)
State-Space Modeling of Time-Varying Spillovers on Networks
by: Papamichalis, Marios, et al.
Published: (2025)
by: Papamichalis, Marios, et al.
Published: (2025)
Sufficiency-principled Transfer Learning via Model Averaging
by: Zhang, Xiyuan, et al.
Published: (2025)
by: Zhang, Xiyuan, et al.
Published: (2025)
Functional Data-Driven Quantile Model Averaging with Application to Cryptocurrencies
by: Xu, Wenchao, et al.
Published: (2023)
by: Xu, Wenchao, 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)
Network double autoregression
by: Li, Tingting, et al.
Published: (2024)
by: Li, Tingting, et al.
Published: (2024)
Learning Time-Varying Correlation Networks with FDR Control via Time-Varying P-values
by: Li, Bufan, et al.
Published: (2025)
by: Li, Bufan, et al.
Published: (2025)
Bayesian Model Averaging in Causal Instrumental Variable Models
by: Steiner, Gregor, et al.
Published: (2025)
by: Steiner, Gregor, et al.
Published: (2025)
Testing High-Dimensional Mediation Effect with Arbitrary Exposure-Mediator Coefficients
by: Lin, Yinan, et al.
Published: (2023)
by: Lin, Yinan, et al.
Published: (2023)
Estimation and Inference for the Average Treatment Effect in a Score-Explained Heterogeneous Treatment Effect Model
by: Wibisono, Kevin Christian, et al.
Published: (2025)
by: Wibisono, Kevin Christian, et al.
Published: (2025)
Doubly-Robust Functional Average Treatment Effect Estimation
by: Testa, Lorenzo, et al.
Published: (2025)
by: Testa, Lorenzo, et al.
Published: (2025)
Finite- and Large- Sample Inference for Model and Coefficients in High-dimensional Linear Regression with Repro Samples
by: Wang, Peng, et al.
Published: (2022)
by: Wang, Peng, et al.
Published: (2022)
Average partial effect estimation using double machine learning
by: Klyne, Harvey, et al.
Published: (2023)
by: Klyne, Harvey, et al.
Published: (2023)
Beyond Conditional Averages: Estimating The Individual Causal Effect Distribution
by: Post, Richard, et al.
Published: (2022)
by: Post, Richard, et al.
Published: (2022)
Wasserstein-based Minimax Estimation of Dependence in Multivariate Regularly Varying Extremes
by: Zhang, Xuhui, et al.
Published: (2023)
by: Zhang, Xuhui, et al.
Published: (2023)
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)
Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation
by: Shi, Jieru, et al.
Published: (2023)
by: Shi, Jieru, et al.
Published: (2023)
Estimation of the Spectral Measure from ConvexCombinations of Regularly Varying RandomVectors
by: Oesting, Marco, et al.
Published: (2020)
by: Oesting, Marco, et al.
Published: (2020)
Spherical Spatial Autoregressive Model for Spherically Embedded Spatial Data
by: Xu, Jiazhen, et al.
Published: (2026)
by: Xu, Jiazhen, et al.
Published: (2026)
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)
A Two-stage Inference Procedure for Sample Local Average Treatment Effects in Randomized Experiments
by: Zhong, Zhen, et al.
Published: (2024)
by: Zhong, Zhen, et al.
Published: (2024)
Ordinal Patterns Based Testing of Spatial Independence in Irregular Spatial Structures
by: Micali, Giorgio, et al.
Published: (2026)
by: Micali, Giorgio, et al.
Published: (2026)
Demystifying Spatial Confounding
by: Dupont, Emiko, et al.
Published: (2023)
by: Dupont, Emiko, et al.
Published: (2023)
Optimal Spatial Anomaly Detection
by: Wang, Baiyu, et al.
Published: (2025)
by: Wang, Baiyu, et al.
Published: (2025)
Statistically Significant Linear Regression Coefficients Solely Driven By Outliers In Finite-sample Inference
by: Reichel, Felix
Published: (2025)
by: Reichel, Felix
Published: (2025)
Spatial modeling of extremes and an angular component
by: Tamagny, Gaspard, et al.
Published: (2023)
by: Tamagny, Gaspard, et al.
Published: (2023)
Effective Sample Size for Functional Spatial Data
by: Alegría, Alfredo, et al.
Published: (2026)
by: Alegría, Alfredo, et al.
Published: (2026)
Spatial autoregressive model with measurement error in covariates
by: Paul, Subhadeep, et al.
Published: (2024)
by: Paul, Subhadeep, et al.
Published: (2024)
Frequency Domain Resampling for Gridded Spatial Data
by: Bera, Souvick, et al.
Published: (2025)
by: Bera, Souvick, et al.
Published: (2025)
Markov Random Fields with Proximity Constraints for Spatial Data
by: Saha, Sudipto, et al.
Published: (2024)
by: Saha, Sudipto, et al.
Published: (2024)
Robust Spatial Confounding Adjustment via Basis Voting
by: Burman, Anik, et al.
Published: (2025)
by: Burman, Anik, et al.
Published: (2025)
Selective Inference for Time-Varying Effect Moderation
by: Bakshi, Soham, et al.
Published: (2024)
by: Bakshi, Soham, et al.
Published: (2024)
Wavelet Based Periodic Autoregressive Moving Average Models
by: Davis, Rhea, et al.
Published: (2024)
by: Davis, Rhea, et al.
Published: (2024)
Higher-order Refinements of Small Bandwidth Asymptotics for Density-Weighted Average Derivative Estimators
by: Cattaneo, Matias D., et al.
Published: (2022)
by: Cattaneo, Matias D., et al.
Published: (2022)
Spatial Confidence Regions for Excursion Sets with False Discovery Rate Control
by: Ryu, Howon, et al.
Published: (2025)
by: Ryu, Howon, et al.
Published: (2025)
Asymmetric Cross-Correlation in Multivariate Spatial Stochastic Processes: A Primer
by: Chen, Xiaoqing
Published: (2025)
by: Chen, Xiaoqing
Published: (2025)
A Bayesian Longitudinal Spatial Normative Model for Individualized Brain Deviation Mapping
by: Korley, J. T.
Published: (2026)
by: Korley, J. T.
Published: (2026)
Similar Items
-
Minimax estimation for Varying Coefficient Model via Laguerre Series
by: Benhaddou, Rida, et al.
Published: (2026) -
Group-Sparse Smoothing for Longitudinal Models with Time-Varying Coefficients
by: Lu, Yu, et al.
Published: (2026) -
Bayesian Dynamic Quantile Model Averaging
by: Bernardi, Mauro, et al.
Published: (2016) -
Identifiability of Treatment Effects with Unobserved Spatially Varying Confounders
by: Tang, Tommy, et al.
Published: (2026) -
State-Space Modeling of Time-Varying Spillovers on Networks
by: Papamichalis, Marios, et al.
Published: (2025)