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Regression modelQuasi-experimental / causal inference

Muundo wa Ubunifu wa Regression ya Bayesian

Muundo wa Ubunifu wa Regression ya Bayesian (Bayesian RDD) huunganisha mfumo wa kawaida wa RD — unaokadiria athari ya kisababishi cha ndani kwenye mpaka unaojulikana wa mgao — ndani ya injini ya uamuzi wa Bayesian. Usambazaji wa awali huwekwa kwenye vitendakazi vya regression pande zote mbili za mpaka na kwenye kigezo cha athari ya matibabu, ikitoa usambazaji kamili wa baada ya makadirio juu ya kiasi kinachokadiriwa cha kisababishi badala ya makadirio moja ya uhakika yenye thamani ya p ya mara kwa mara.

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Vyanzo

  1. Karabatsos, G., & Walker, S. G. (2004). Coherent inference in regression discontinuity designs with a Bayesian nonparametric approach. Journal of the American Statistical Association, 99(468), 1121-1131. link
  2. Chib, S., & Jacobi, L. (2016). Bayesian fuzzy regression discontinuity analysis and returns to compulsory schooling. Journal of Applied Econometrics, 31(6), 1026-1047. DOI: 10.1002/jae.2481

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Bayesian Regression Discontinuity Design. ScholarGate. https://scholargate.app/sw/causal-inference/bayesian-regression-discontinuity-design

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ScholarGateBayesian Regression Discontinuity Design (Bayesian Regression Discontinuity Design). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/causal-inference/bayesian-regression-discontinuity-design · Seti ya data: https://doi.org/10.5281/zenodo.20539026