Bayesian Dynamic Linear Model Parameter Estimates for Neonatal Mortality in Uganda

Empirical mean, standard deviation, and standard error of the mean for model parameters estimated using a Bayesian dynamic linear model (BDLM). The 9.5 KB Excel file, created by George Bamwebaze and last updated in March 2026, contains summary statistics likely derived from a study on neonatal mortality in Uganda. The model's description suggests it incorporates temporal dimensions and related covariates to provide forecasts.

Use Cases

• Validate BDLM parameter estimation based on reported empirical means and standard deviations.
• Benchmark statistical forecasting models against the provided standard errors of the mean.
• Analyze the relationship between neonatal mortality and covariates in a spatiotemporal context as suggested by the model description.

Strengths

• File size is precisely 9.5 KB, indicating a focused and manageable dataset.
• License is clearly defined as CC-BY-4.0, permitting open reuse with attribution.
• Last update timestamp is provided (2026-03-19 17:42:42).

Limitations

• Row count and specific column definitions are unknown, limiting suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset's small size (9.5 KB) indicates a very limited scope, likely containing only summary statistics.

Provenance

Source

George Bamwebaze via figshare.

Collection Method

Likely derived from a study using Bayesian dynamic linear models (BDLM) and Kalman filtering techniques on simulated or empirical data.

Freshness

Last updated 2026-03-19 17:42:42; freshness should be verified.

Geography

Likely Uganda, based on platform tags.