Working with summarized data, sparse causal discovery identifies the most influential relationships without analyzing every detail. This approach reduces complexity while preserving meaningful insights. It allows data scientists to make accurate predictions and informed decisions efficiently. Real-world applications range from financial market analysis to healthcare interventions. Stu... https://buymeacoffee.com/excelrposts/finding-hidden-causes-crowd-sparse-causal-discovery-summarized-data