A new spatial count data model with Bayesian additive regression trees for accident hot spot identification

Research article (Accident Analysis & Prevention, 2020) · cited 37× · AI/ML
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A new spatial count data model with Bayesian additive regression trees for accident hot spot identification

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A new spatial count data model with Bayesian additive regression trees for accident hot spot identification is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A new spatial count data model with Bayesian additive regression trees for accident hot spot identification. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-new-spatial-count-data-model-with-bayesian-additive-regression-trees-for-accident-hot-spot-identification
MLA “A new spatial count data model with Bayesian additive regression trees for accident hot spot identification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-new-spatial-count-data-model-with-bayesian-additive-regression-trees-for-accident-hot-spot-identification.
BibTeX @misc{4ortxyz_a-new-spatial-count-data-model-with-bayesian-additive-regression-trees-for-accident-hot-spot-identification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A new spatial count data model with Bayesian additive regression trees for accident hot spot identification}}, year = {2026}, url = {https://4ort.xyz/entity/a-new-spatial-count-data-model-with-bayesian-additive-regression-trees-for-accident-hot-spot-identification}, note = {Accessed: 2026-05-24}}
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