Implements a changepoint-aware probabilistic forecasting algorithm that segments the time series by shifts in mean and variance. Each segment is modeled using Theta, TBATS, and ARFIMA, and their forecasts are fused via a product-of-experts for robust ensemble prediction.

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VARIABLE NOMINAL METODO DE ELIMINACION

This animated map visualizes changes in import trade communities detected using the Louvain algorithm based on global constant-case import trade networks from 1960 to 2024. It shows community membership changes over time. It shows how communities and their membership change over time.

Exploring the impacts of the wildfires on transit ridership

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