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

Author:

Liang Jinwen,Härdle Wolfgang Karl,Tian MaozaiORCID

Funder

Fundamental Research Funds for the Central Universities

Renmin University of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference32 articles.

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4. A nonconvex low-rank tensor completion model for spatiotemporal traffic data imputation;Chen;Transp. Res., Part C, Emerg. Technol.,2020

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1. Tensor quantile regression with low-rank tensor train estimation;The Annals of Applied Statistics;2024-06-01

2. Imputed quantile vector autoregressive model for multivariate spatial–temporal data;Statistical Analysis and Data Mining: The ASA Data Science Journal;2024-01-25

3. A Novel Truncated Normal Tensor Completion Method for Multi-Source Fusion Data;Mathematics;2024-01-09

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