LatentCP builds finite-sample-valid uncertainty sets for instance-specific latent distributional parameters by inverting a conformal response set through a known forward model, with an e-value based multilevel aggregation for efficiency.
ForC γ ⊆ {0,1,2}, compatibility is evaluated exactly: pγ(θ) = 2X j=0 θj1{j∈ C γ}
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Beyond Predicting Responses: Conformal Inference for Latent Distributional Parameters
LatentCP builds finite-sample-valid uncertainty sets for instance-specific latent distributional parameters by inverting a conformal response set through a known forward model, with an e-value based multilevel aggregation for efficiency.