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.
In galaxy clustering analyses, for ex- ample, we typically have access to only a single observa- tion — one samplex drawn from the true data-generating process G
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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.