Imputed quantile tensor regression for near-sited spatial-temporal data

DOI10.1016/j.csda.2023.107713OpenAlexW4320716716MaRDI QIDQ6168920

Mao-Zai Tian, Wolfgang Karl Härdle, Jinwen Liang

Publication date: 11 July 2023

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2023.107713

zbMATH Keywords

quantile regressionmissing datalow rank tensor completion

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares
• Tensor-on-Tensor Regression
• Estimation of spatial autoregressive panel data models with fixed effects
• Quasi-maximum likelihood estimators for spatial dynamic panel data with fixed effects when both \(n\) and \(T\) are large
• Bayesian inference for additive mixed quantile regression models
• Estimation of (near) low-rank matrices with noise and high-dimensional scaling
• Unified \(M\)-estimation of fixed-effects spatial dynamic models with short panels
• Least squares estimation with complexity penalties
• Robust low-rank matrix estimation
• QML estimation of dynamic panel data models with spatial errors
• A Singular Value Thresholding Algorithm for Matrix Completion
• A General Framework for Quantile Estimation with Incomplete Data
• The Power of Convex Relaxation: Near-Optimal Matrix Completion