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Bayesian System Dynamics/Evidence
Method evidence record

Bayesian System Dynamics

Bayesian System Dynamics (BSD) integrates Bayesian statistical inference with causal stock-and-flow simulation models. Prior knowledge about model parameters is updated using observed time-series data to produce posterior distributions, which are then propagated through the simulation to yield probabilistic forecasts and policy evaluations rather than single deterministic trajectories.

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Source record

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Bayesian System Dynamics — Probabilistic parameter estimation and uncertainty propagation in system dynamics models
Taxonomic method record · process-pipeline / simulation
  • Rahmandad, H., & Sterman, J. D. (2008). Heterogeneity and network structure in the dynamics of diffusion: Comparing agent-based and differential equation models. Management Science, 54(5), 998–1014. · DOI 10.1287/mnsc.1070.0787
  • System dynamics. Wikipedia. · URL
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Related methods

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Taxonomic bucketBayesian Markov Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBayesian Monte Carlo Simulationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMarkov Modelmachine-suggested · Relational suggestion, not evidence.See alsoMONTE-CARLO-SIMULATIONmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketStochastic System Dynamicsmachine-suggested · Relational suggestion, not evidence.Same method familySystem Dynamicsmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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