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Regression modelGIS / spatial

Bayesiansk Spatial Durbin Model

Den Bayesianske Spatial Durbin Model (BSDM) estimerer en spatial regression, der samtidigt inkluderer en spatialt lagget afhængig variabel og spatialt laggede kovariater, ved brug af Bayesiansk inferens med Markov Chain Monte Carlo (MCMC) sampling. Modellen indfanger både endogene og eksogene spatiale spillovers, samtidig med at den leverer fulde posterior-fordelinger for alle parametre, hvilket kvantificerer usikkerhed ud over hvad klassisk maximum-likelihood estimering tilbyder.

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Kilder

  1. LeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247
  2. LeSage, J. P. (2014). Spatial Econometric Panel Data Model Comparison Using Heterogeneous Panels with Local Spatial Spillovers. Empirical Economics, 46(1), 193–211. link

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ScholarGate. (2026, June 3). Bayesian Spatial Durbin Model. ScholarGate. https://scholargate.app/da/spatial-analysis/bayesian-spatial-durbin-model

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Refereret af

ScholarGateBayesian Spatial Durbin Model (Bayesian Spatial Durbin Model). Hentet 2026-06-15 fra https://scholargate.app/da/spatial-analysis/bayesian-spatial-durbin-model · Datasæt: https://doi.org/10.5281/zenodo.20539026