Posterior Summaries and Diagnostics for a Bayesian Negative Binomial Model

Posterior summaries and convergence diagnostics for a Bayesian negative binomial model, authored by Khemmanant Khamthong. The dataset is stored in an XLS file sized 5.5 KB and was last updated on April 27, 2026. It is licensed under CC-BY-4.0.

Use Cases

• Validate MCMC sampling convergence based on the provided diagnostic metrics.
• Compare posterior parameter estimates from a negative binomial model.
• Use as a reference for implementing similar Bayesian models in statistical software.
• Assess model fit and uncertainty quantification using the posterior summaries.

Strengths

• File size is 5.5 KB, indicating a compact and focused dataset.
• Explicitly licensed under the permissive CC-BY-4.0 license.
• Last update timestamp (2026-04-27 17:42:49) is provided.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare, authored by Khemmanant Khamthong.

Collection Method

Likely contains computational outputs from a Bayesian statistical analysis.

Time Range

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Freshness

Last updated 2026-04-27 17:42:49; freshness should be verified.

Geography

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