most citedApplying non-negative matrix factorization with covariates to multivariate time series data as a vector autoregression model

3 citations · 3 across the 2 of their papers we have counts for

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2 papers

stat.ME2025★ 3 cited

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…

stat.ME2024

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…