2 papers
stat.ME2026
Applying Non-negative Matrix Factorization with Covariates to the Longitudinal Data as Growth Curve Model
Kenichi Satoh
Using Non-negative Matrix Factorization (NMF), an observed matrix is approximated by a basis matrix times a coefficient matrix. When each individual's coefficient vector is explain…
stat.ME2025
Applying non-negative matrix factorization with covariates to multivariate time series data as a vector autoregression model
Kenichi Satoh
We propose a novel framework for analyzing multivariate time series (MTS) data by integrating non-negative matrix factorization (NMF) with vector autoregression (VAR). Termed NMF-V…