Simulated MCMC Chains for Phylogenetic Tree ESS Estimation

Simulated MCMC chains for tree Effective Sample Size (ESS) estimation experiments, covering DS1-11 datasets and target ACT values from 2 to 100. The dataset includes two runs and two replicates per configuration, created by Jonathan Klawitter and published on figshare in March 2026.

Use Cases

• Benchmarking ESS estimation algorithms using simulated chain data for target ACT values from 2 to 100.
• Analyzing MCMC convergence properties across different phylogenetic tree models (DS1-11).
• Comparing performance of convergence diagnostics between two independent runs and their replicates.
• Studying the relationship between target ACT and estimated ESS in simulated phylogenetic inference scenarios.

Strengths

• Data generated for a comprehensive range of target ACT values from 2 to 100.
• Includes two runs and two replicates per experimental configuration for reliability checks.
• Dataset size of 218.2 MB indicates substantial simulation output.

Limitations

• Specific row count and column structure are unknown, limiting precise assessment of scale.
• Data is simulated, not empirical, which may limit direct application to real-world phylogenetic inference.
• The dataset's utility is highly specialized to ESS estimation experiments.

Provenance

Source

Jonathan Klawitter via figshare.

Collection Method

Simulated MCMC chains generated for computational experiments, referenced in an arXiv paper (2603.03521).

Time Range

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Freshness

Last updated March 2026.

Geography

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