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Bajezijanska dvostruko robustna procena

Bajezijanska dvostruko robustna procena kombinuje klasični dvostruko robustni (DR) okvir proširenog ponderisanja inverzne verovatnoće sa Bajezijanskim zaključivanjem. Istovremeno modeluje sklonost ka tretmanu i regresiju ishoda, postavljajući apriorne raspodele na obe, i izvodi aposteriornu raspodelu prosečnog efekta tretmana koja ostaje konzistentna čak i ako je jedan od dva komponentna modela pogrešno specifikovan.

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Izvori

  1. Bang, H., & Robins, J. M. (2005). Doubly robust estimation in missing data and causal inference models. Biometrics, 61(4), 962-973. DOI: 10.1111/j.1541-0420.2005.00377.x
  2. Scharfstein, D., Nabi, R., Kennedy, E. H., Huang, M.-Y., Bonvini, M., & Smid, M. (2021). Semiparametric sensitivity analysis: Unmeasured confounding in observational studies. arXiv:1910.14694. link

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Bayesian Doubly Robust Estimation of Average Treatment Effects. ScholarGate. https://scholargate.app/sr/causal-inference/bayesian-doubly-robust-estimation

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ScholarGateBayesian Doubly Robust Estimation (Bayesian Doubly Robust Estimation of Average Treatment Effects). Preuzeto 2026-06-15 sa https://scholargate.app/sr/causal-inference/bayesian-doubly-robust-estimation · Skup podataka: https://doi.org/10.5281/zenodo.20539026