This animated map visualizes the evolution of global import trade communities from 1960 to 2024. Using the Louvain algorithm on binary networks of constant case imports, it tracks yearly changes in community membership among countries. The map helps reveal regional clusters and shifts in global trade patterns across time.

Resume Book: Quantitative Economics with R by Vikram Dayal A Data Science Approach

This animated map visualizes changes in import trade communities detected using the Louvain algorithm based on global constant cases of import trade networks from 1960 to 2024. It shows community membership changes over time.

This animated map visualizes changes in import trade communities detected using the Louvain algorithm based on global constant cases of import trade networks from 1960 to 2024. It shows community membership changes over time.

Animated Louvain community detection of global import networks based on constant cases (1960–2024)

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.