Edward probabilistic modeling, inference and criticism

What changed

Combines probabilistic model abstractions, interchangeable inference and model-criticism workflows over TensorFlow, including batched data and backend-model wrappers.

Scientific scope

Combines probabilistic model abstractions, interchangeable inference and model-criticism workflows over TensorFlow, including batched data and backend-model wrappers. The original identifier dates to2016 but the retrieved v1-labelled document prints23May2022. This anomaly remains unresolved: only the core framework is dated to the initial report, not every listed later feature. Box's modeling loop and variational/MCMC methods are inherited; speed and posterior quality are model/algorithm dependent.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. The original identifier dates to2016 but the retrieved v1-labelled document prints23May2022. This anomaly remains unresolved: only the core framework is dated to the initial report, not every listed later feature. Box's modeling loop and variational/MCMC methods are inherited; speed and posterior quality are model/algorithm dependent.

Contributors

• Source-listed authors and technical contributors · SCIENCE: Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.

• Edward: A library for probabilistic modeling, inference, and criticism

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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