Spatial smoothing in Bayesian models: a comparison of weights matrix specifications and their impact on inference

Research article (International Journal of Health Geographics, 2017) · cited 85× · AI/ML
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Spatial smoothing in Bayesian models: a comparison of weights matrix specifications and their impact on inference

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Spatial smoothing in Bayesian models: a comparison of weights matrix specifications and their impact on inference is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Spatial smoothing in Bayesian models: a comparison of weights matrix specifications and their impact on inference. Retrieved May 24, 2026, from https://4ort.xyz/entity/spatial-smoothing-in-bayesian-models-a-comparison-of-weights-matrix-specifications-and-their-impact-on-inference
MLA “Spatial smoothing in Bayesian models: a comparison of weights matrix specifications and their impact on inference.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/spatial-smoothing-in-bayesian-models-a-comparison-of-weights-matrix-specifications-and-their-impact-on-inference.
BibTeX @misc{4ortxyz_spatial-smoothing-in-bayesian-models-a-comparison-of-weights-matrix-specifications-and-their-impact-on-inference_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Spatial smoothing in Bayesian models: a comparison of weights matrix specifications and their impact on inference}}, year = {2026}, url = {https://4ort.xyz/entity/spatial-smoothing-in-bayesian-models-a-comparison-of-weights-matrix-specifications-and-their-impact-on-inference}, note = {Accessed: 2026-05-24}}
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