A hierarchical Bayesian framework infers astrophysical population properties directly from LISA global fit outputs by jointly modeling resolved sources and unresolved backgrounds.
Extracting distribution parameters from multiple uncertain observations with selection biases,
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A framework for LISA population inference
A hierarchical Bayesian framework infers astrophysical population properties directly from LISA global fit outputs by jointly modeling resolved sources and unresolved backgrounds.