 Multivariate time series

Multivariate time series refers to a collection of multiple time series data points collected or observed over time. Unlike univariate time series, which involves a single variable or feature analyzed at different time points, multivariate time series consists of two or more variables that may be related to each other. This relationship can help to identify patterns, correlations, or dynamics that wouldn't be evident from analyzing each time series independently.