A two-step method (coefficient pruning plus learned robust transformation) fixes model misspecification in the SimBIG wavelet-scattering analysis of BOSS galaxy clustering and produces tight Lambda-CDM constraints.
The simulator takes the form of a probabilistic model that generates data x ∈ Rn given a parameter θ ∈ Θ ⊂ Rd
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Mitigating Model Misspecification in Simulation-Based Inference for Galaxy Clustering
A two-step method (coefficient pruning plus learned robust transformation) fixes model misspecification in the SimBIG wavelet-scattering analysis of BOSS galaxy clustering and produces tight Lambda-CDM constraints.