Time Series Lab is an interactive platform for time series analysis, modeling, and forecasting designed to make complex methods accessible through a visual and intuitive interface.

Users can explore a broad range of modeling approaches, including Box-Jenkins models, exponential smoothing, score-driven models, and structural time series models. Flexible tools allow you to combine dynamic components such as trend, seasonality, and cycles to build models that best capture your data's behavior.

Under the hood, Time Series Lab relies on advanced state space methods, including the Kalman filter and smoothing algorithms. These techniques enable powerful features like automatic handling of missing data and efficient model estimation across a wide range of applications.

Time Series Lab

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