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Regression modelQuasi-experimental / causal inference

Njia ya Bayesian Synthetic Control

Njia ya Bayesian Synthetic Control hutathmini athari ya kisababishi cha hatua fulani kwa kitengo kimoja kilichotibiwa kwa kuunda kinyume cha uwezekano kutoka kwa mchanganyiko wenye uzito wa vitengo vya wafadhili wasiotibiwa. Tofauti na SCM ya kawaida, huweka usambazaji wa awali juu ya uzito wa kisintetiki, ikitoa vipindi kamili vya uhakika wa baadae kwa mwelekeo wa kinyume na athari ya matibabu kwa kila nukta ya muda baada ya kuingilia kati.

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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. Abadie, A., Diamond, A., & Hainmueller, J. (2010). Synthetic control methods for comparative case studies: Estimating the effect of California's tobacco control program. Journal of the American Statistical Association, 105(490), 493-505. DOI: 10.1198/jasa.2009.ap08746

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Bayesian Synthetic Control Method. ScholarGate. https://scholargate.app/sw/causal-inference/bayesian-synthetic-control-method

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Imerejelewa na

ScholarGateBayesian Synthetic Control Method (Bayesian Synthetic Control Method). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/causal-inference/bayesian-synthetic-control-method · Seti ya data: https://doi.org/10.5281/zenodo.20539026