方法证据记录
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.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Bayesian System Dynamics — Probabilistic parameter estimation and uncertainty propagation in system dynamics models
分类方法记录 · 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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