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Analisis Skenario Bayesian — Pemberat kebarangkalian skenario masa depan melalui inferens Bayesian

Analisis Skenario Bayesian (BSA) menggabungkan perancangan skenario berstruktur dengan teori kebarangkalian Bayesian, memberikan kebarangkalian prior eksplisit kepada masa depan alternatif dan mengemas kininya apabila bukti baharu atau pertimbangan pakar tersedia. Hasilnya ialah taburan hasil yang diberat kebarangkalian merentasi skenario berbanding satu set masa depan yang diberat sama rata atau diberat secara sewenang-wenangnya.

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Sumber

  1. Aven, T., & Reniers, G. (2013). How to define and interpret a probability in a risk and safety setting. Safety Science, 51(1), 223–231. DOI: 10.1016/j.ssci.2012.06.005
  2. Lempert, R. J., Popper, S. W., & Bankes, S. C. (2003). Shaping the Next One Hundred Years: New Methods for Quantitative, Long-Term Policy Analysis. RAND Corporation. ISBN: 9780833032973

Cara memetik halaman ini

ScholarGate. (2026, June 3). Bayesian Scenario Analysis — Probabilistic scenario weighting via Bayesian inference. ScholarGate. https://scholargate.app/ms/simulation/bayesian-scenario-analysis

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ScholarGateBayesian Scenario Analysis (Bayesian Scenario Analysis — Probabilistic scenario weighting via Bayesian inference). Dicapai 2026-06-15 daripada https://scholargate.app/ms/simulation/bayesian-scenario-analysis · Set data: https://doi.org/10.5281/zenodo.20539026