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Mifumo ya Mfumo wa Bayesian — Utathmini wa vigezo vya uwezekano na uenezaji wa kutokuwa na uhakika katika miundo ya SD

Mifumo ya Mfumo wa Bayesian (BSD) huunganisha utambuzi wa takwimu wa Bayesian na miundo ya uhamasishaji ya hisa-na-mtiririko. Maarifa ya awali kuhusu vigezo vya mfumo husasishwa kwa kutumia data za mfululizo wa muda zilizozingatiwa ili kutoa usambazaji wa nyuma, ambao kisha huenezwa kupitia uhamasishaji ili kutoa utabiri wa uwezekano na tathmini za sera badala ya njia moja za uhakika.

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Vyanzo

  1. 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
  2. System dynamics. Wikipedia. link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Bayesian System Dynamics — Probabilistic parameter estimation and uncertainty propagation in system dynamics models. ScholarGate. https://scholargate.app/sw/simulation/bayesian-system-dynamics

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Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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Imerejelewa na

ScholarGateBayesian System Dynamics (Bayesian System Dynamics — Probabilistic parameter estimation and uncertainty propagation in system dynamics models). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/simulation/bayesian-system-dynamics · Seti ya data: https://doi.org/10.5281/zenodo.20539026