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Bayesiansk nul-inflateret model

Den Bayesianske nul-inflaterede model håndterer tælledata med et overskud af nuller ved at kombinere en binær komponent – der identificerer strukturelle nuller – med en tællekomponent (Poisson eller negativ binomial) for de resterende tællinger. Bayesiansk inferens via MCMC giver fulde posteriorfordelinger for alle parametre, hvilket muliggør principbaseret kvantificering af usikkerhed og regularisering gennem priore fordelinger.

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Kilder

  1. Ghosh, S. K., Mukhopadhyay, P., & Lu, J.-C. (2006). Bayesian analysis of zero-inflated regression models. Journal of Statistical Planning and Inference, 136(4), 1360–1375. DOI: 10.1016/j.jspi.2004.10.008
  2. Lambert, D. (1992). Zero-inflated Poisson regression, with an application to defects in manufacturing. Technometrics, 34(1), 1–14. DOI: 10.2307/1269547

Sådan citerer du denne side

ScholarGate. (2026, June 3). Bayesian Zero-Inflated Count Model. ScholarGate. https://scholargate.app/da/statistics/bayesian-zero-inflated-model

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Refereret af

ScholarGateBayesian Zero-inflated model (Bayesian Zero-Inflated Count Model). Hentet 2026-06-15 fra https://scholargate.app/da/statistics/bayesian-zero-inflated-model · Datasæt: https://doi.org/10.5281/zenodo.20539026