Article

Observation-masked neural posterior estimation for heterogeneous epidemiological surveillance data

2026-08-04

Abstract excerpt

Disease surveillance data are often sparse, irregularly timed and heterogeneous across observational units, creating challenges for inference in mechanistic epidemiological models. We present observation-masked neural posterior estimation (OM-NPE), a simulation-based Bayesian inference framework for such settings. The approach represents observations on a common temporal grid and records observation availability t...

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Literature Corpus work: cd839a08-b85d-5ce9-b370-b2aaa591ed3f
DOI: 10.64898/2026.08.03.742452

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