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Regression modelQuasi-experimental / causal inference

Tathmini ya Athari ya Kinyume cha Ukweli kwa Kutumia Mbinu ya Bayesian

Tathmini ya Athari ya Kinyume cha Ukweli kwa Kutumia Mbinu ya Bayesian inakadiria athari ya kisababishi ya uingiliaji kwa kujenga usambazaji wa nyuma wa Bayesian juu ya matokeo ya kinyume cha ukweli — kile ambacho kingetokea bila matibabu. Njia hii, iliyosambazwa na Brodersen et al. (2015) kupitia mfumo wa CausalImpact, inatumia mifano ya mfululizo wa muda ya kimuundo ya Bayesian iliyorekebishwa katika kipindi cha kabla ya uingiliaji kutabiri mwelekeo wa kinyume cha ukweli, kisha inalinganisha matokeo yaliyozingatiwa baada ya uingiliaji na utabiri huo.

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Vyanzo

  1. Brodersen, K. H., Gallusser, F., Koehler, J., Remy, N., & Scott, S. L. (2015). Inferring causal impact using Bayesian structural time-series models. Annals of Applied Statistics, 9(1), 247-274. DOI: 10.1214/14-AOAS788
  2. Rubin, D. B. (2005). Causal inference using potential outcomes: Design, modeling, decisions. Journal of the American Statistical Association, 100(469), 322-331. DOI: 10.1198/016214504000001880

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Bayesian Counterfactual Impact Evaluation. ScholarGate. https://scholargate.app/sw/causal-inference/bayesian-counterfactual-impact-evaluation

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ScholarGateBayesian Counterfactual Impact Evaluation (Bayesian Counterfactual Impact Evaluation). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/causal-inference/bayesian-counterfactual-impact-evaluation · Seti ya data: https://doi.org/10.5281/zenodo.20539026