Time-dependent models are statistical or computational models that incorporate time as a critical variable, allowing for the analysis and prediction of dynamic systems over time. These models are essential in fields where the temporal evolution of data is crucial, such as finance, climate science, and epidemiology, enabling more accurate forecasting and understanding of trends and patterns.