Population inference provides our most powerful tool for extracting astrophysical/cosmological information from gravitational-wave observations.
However, these analyses come with significant computational challenges which grow rapidly with the size of the observed catalog.
I will review the commonly used methods for performing astrophysical inference on populations of compact binaries and some of the limitations these methods face.
After this, I will describe some novel methods that mitigate these issues.
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