Regression modelQuasi-experimental / causal inference

Bayesian Matching Estimator

Bayesian Matching Estimator procjenjuje prosječne učinke tretmana u opservacijskim studijama kombiniranjem klasičnog podudaranja najbližeg susjeda ili kernela s bayesijanskim posteriorom o učinku tretmana. Nasljeđuje logiku uravnoteženja kovarijata podudaranja, istovremeno propagirajući nesigurnost kroz potpunu posteriornu distribuciju umjesto oslanjanja na asimptotske standardne pogreške, dajući intervale vjerodostojnosti koji odražavaju i varijabilnost uzorkovanja i prethodno znanje.

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Izvori

  1. Rubin, D. B. (1978). Bayesian inference for causal effects: The role of randomization. The Annals of Statistics, 6(1), 34-58. DOI: 10.1214/aos/1176344064
  2. Heckman, J. J., Ichimura, H., & Todd, P. (1998). Matching as an econometric evaluation estimator. Review of Economic Studies, 65(2), 261-294. DOI: 10.1111/1467-937X.00044

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Bayesian Matching Estimator for Average Treatment Effects. ScholarGate. https://scholargate.app/hr/causal-inference/bayesian-matching-estimator

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Citirana u

ScholarGateBayesian Matching Estimator (Bayesian Matching Estimator for Average Treatment Effects). Preuzeto 2026-06-15 s https://scholargate.app/hr/causal-inference/bayesian-matching-estimator · Skup podataka: https://doi.org/10.5281/zenodo.20539026