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Msaidizi
Regression modelQuasi-experimental / causal inference

Uchambuzi wa Athari za Kimahesabu za Vipindi Nyingi

Uchambuzi wa Athari za Kimahesabu za Vipindi Nyingi unapanua mfumo wa vipindi vya muda vya kimfumo vya Bayesian wa Brodersen et al. (2015) kwa mazingira ambapo uingiliaji unatokea katika vipindi vingi tofauti, unatekelezwa kwa nyakati tofauti kwa vitengo tofauti, au ambapo watafiti wanataka kutathmini athari za pamoja na za kipindi mahususi ndani ya mfumo mmoja umoja. Unajenga kinyume cha uwongo kutoka kwa vigezo vya udhibiti na unakisia kwa kila dirisha la uingiliaji ili kupima athari za kimahesabu.

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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. Bojinov, I., & Shephard, N. (2019). Time series experiments and causal estimands: exact randomization tests and trading. Journal of the American Statistical Association, 114(528), 1665-1682. DOI: 10.1080/01621459.2018.1527225

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Multi-period Bayesian Causal Impact Analysis. ScholarGate. https://scholargate.app/sw/causal-inference/multi-period-causal-impact-analysis

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ScholarGateMulti-period Causal Impact Analysis (Multi-period Bayesian Causal Impact Analysis). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/causal-inference/multi-period-causal-impact-analysis · Seti ya data: https://doi.org/10.5281/zenodo.20539026