1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.AP2026
vPET-ABC: Fast Voxelwise Approximate Bayesian Inference for Kinetic Modeling in PET
Qinlin Gu, Gaelle M. Emvalomenos, Evan D. Morris +2
Dynamic PET kinetic modeling increasingly demands voxelwise uncertainty quantification and robust model selection. Yet total-body PET (TB-PET) data volumes make conventional Bayesi…
stat.CO2019★ 1 cited
A review of Approximate Bayesian Computation methods via density estimation: inference for simulator-models
Clara Grazian, Yanan Fan
This paper provides a review of Approximate Bayesian Computation (ABC) methods for carrying out Bayesian posterior inference, through the lens of density estimation. We describe se…