autoregressive models 1forecasting 1high-dimensional time series 1local interaction 1matrix and tensor data 1
From the 1 of 3 linked papers with an AI index.
3 papers
stat.ME2026
Local Interaction Autoregressive Model for High Dimension Time Series Data
Jingyang Li, Yang Chen
The paper introduces a Local Interaction Autoregressive (LIAR) framework for forecasting high‑dimensional matrix and tensor time series by exploiting local dependencies, and provid…
math.ST2025
Spectral Joint Subspace Estimation for Heterogeneous Multi-View Data: Geometry and Reweighting
Jingyang Li, Zhongyuan Lyu
Many modern datasets consist of multiple related matrices measured on a common set of units, with the goal of recovering a shared low-dimensional subspace. The Angle-based Joint an…
cs.LG2025
Fourier Low-rank and Sparse Tensor for Efficient Tensor Completion
Jingyang Li, Jiuqian Shang, Yang Chen
Tensor completion is crucial in many scientific domains with missing data problems. Traditional low-rank tensor models, including CP, Tucker, and Tensor-Train, exploit low-dimensio…