LSBI approximates simulated likelihoods as linear Gaussians and iteratively refines posteriors, reaching accuracy comparable to neural SBI on CMB power spectrum emulations.
It can be noted by eye that the posterior coincides well with the result of nested sampling after four to five rounds of LSBI
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Cosmological Parameter Estimation with Sequential Linear Simulation-based Inference
LSBI approximates simulated likelihoods as linear Gaussians and iteratively refines posteriors, reaching accuracy comparable to neural SBI on CMB power spectrum emulations.