Bayesian Model Parameter Priors and Posteriors with Bounds

Parameter descriptions, priors, and posterior estimates from a Bayesian model's final time step. Upper and lower bounds were imposed by observations, with priors modeled as truncated normal distributions. The 5.5 KB XLS file was authored by Dhorasso Temfack and last updated on May 18, 2026.

Use Cases

• Analyzing the impact of observational bounds on posterior distributions based on the described parameter constraints.
• Comparing prior and posterior estimates for model parameters at a final time step.
• Studying the application of truncated normal distributions as priors in constrained parameter spaces.

Strengths

• File size is precisely 5.5 KB, indicating a focused and manageable dataset.
• License is clearly defined as CC-BY-4.0, facilitating open reuse.
• Last update timestamp is provided as 2026-05-18 17:39:16.

Limitations

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

Provenance

Source

figshare

Freshness

Last updated 2026-05-18 17:39:16; freshness should be verified.