Communications on Applied Mathematics and Computation ›› 2025, Vol. 7 ›› Issue (5): 2137-2155.doi: 10.1007/s42967-024-00458-y

• ORIGINAL PAPERS • Previous Articles    

A Count Column Sketch Method for Tensor Auto-regression Parameter Estimation

Qian-Nan Lian, Ju-Li Zhang   

  1. School of Mathematics, Physics and Statistics, Shanghai University of Engineering Science, Shanghai, 201620, China
  • Received:2023-11-30 Revised:2024-08-31 Accepted:2024-09-01 Online:2025-02-11 Published:2025-02-11
  • Contact: Ju-Li Zhang,E-mail:xzhzhangjuli@163.com E-mail:xzhzhangjuli@163.com
  • Supported by:
    This work is supported by the crossing research project of Shanghai University of Engineering Science (No. SL-001).

Abstract: For the tensor auto-regression (TAR) model, we consider combining the model with the multilinear systems in this work, to expand the previous methods of parameter estimation and prediction. Inspired by the SubCount Sketch (SCS) method, a Count Column Sketch (CCS) method is proposed for the parameter estimation. Compared with the SCS method, the proposed CCS method makes the parameter estimation for the underdetermined problems more efficient. At the same time, the convergence properties of the CCS method are also given. In the numerical experiments, we use the CCS method to analyze and predict the L-transform tensor auto-regressive (L-TAR) model. For underdetermined problems, the numerical results indicate that our approach is validated and less training time is required than other methods.

Key words: Randomized methods, Count Column Sketch (CCS) method, Parameter estimation, Tensor auto-regression (TAR), L-transform