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Regression modelQuasi-experimental / causal inference

Uchambuzi Imara wa Athari za Kimaumbile

Uchambuzi Imara wa Athari za Kimaumbile unapanua mfumo wa Bayesian structural time-series CausalImpact (Brodersen et al., 2015) kwa kuunganisha vipimo vya uthabiti vya kimfumo — vipimo vya placebo kwa wakati, vidhibiti vya placebo kwa nafasi, uchambuzi wa hisia za vigezo, na tathmini za hisia za awali — ili kuthibitisha kuwa athari iliyogunduliwa ya uingiliaji ni halisi na si athari ya uchaguzi wa modeli au ruwaza za data zinazotokea kwa bahati.

Fungua katika MethodMindHivi karibuniVideoHivi karibuniPakua slaidi

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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. Cunningham, S. (2021). Causal Inference: The Mixtape. Yale University Press. ISBN: 978-0300251685

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Robust Causal Impact Analysis with Sensitivity and Placebo Checks. ScholarGate. https://scholargate.app/sw/causal-inference/robust-causal-impact-analysis

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Linganisha bega kwa bega
ScholarGateRobust Causal Impact Analysis (Robust Causal Impact Analysis with Sensitivity and Placebo Checks). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/causal-inference/robust-causal-impact-analysis · Seti ya data: https://doi.org/10.5281/zenodo.20539026