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Bayesian methodsBayesian / computational

Bayesiansk inferens med målefejl

Bayesiansk inferens med målefejl udvider det standard Bayesianske rammeværk til situationer, hvor en eller flere kovariater eller udfald observeres med støj eller fejlklassificering. Ved at behandle de sande uobserverede værdier som latente variable og tildele dem prior-fordelinger, estimerer modellen samtidigt den sande eksponeringsfordeling og de strukturelle parametre af interesse, og propagerer al usikkerhed gennem posterior-fordelingen.

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Kilder

  1. Carroll, R. J., Ruppert, D., Stefanski, L. A., & Crainiceanu, C. M. (2006). Measurement Error in Nonlinear Models: A Modern Perspective (2nd ed.). Chapman & Hall/CRC. ISBN: 978-1584886433
  2. Richardson, S., & Gilks, W. R. (1993). A Bayesian approach to measurement error problems in epidemiology using conditional independence models. American Journal of Epidemiology, 138(6), 430–442. DOI: 10.1093/oxfordjournals.aje.a116875

Sådan citerer du denne side

ScholarGate. (2026, June 3). Bayesian Inference with Measurement Error (Errors-in-Variables). ScholarGate. https://scholargate.app/da/bayesian/bayesian-inference-with-measurement-error

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Refereret af

ScholarGateBayesian Inference with Measurement Error (Bayesian Inference with Measurement Error (Errors-in-Variables)). Hentet 2026-06-15 fra https://scholargate.app/da/bayesian/bayesian-inference-with-measurement-error · Datasæt: https://doi.org/10.5281/zenodo.20539026