Urgent.News

What's breaking now, across thousands of outlets.

AI

Forest-weighted causal correlation: A scalable framework for causal inference in ecological time series

1. Detecting causal relationships from ecological time series remains challenging because community dynamics are often nonlinear, high-dimensional, noisy, and strongly synchronized. These characteristics can reduce the reliability of existing causal inference methods and complicate the identification of ecological interactions in complex natural systems. 2. I introduce Forest-weighted Causal…

We haven't written up this one. bioRxiv has the full story — the link below goes straight to it.

Read the original at biorxiv.org →

More in AI

More from Thursday 8 October →