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Predicting human-driving behavior to help driverless vehicles drive: random intercept Bayesian additive regression trees

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Publication:1784712
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DOI10.4310/SII.2018.V11.N4.A1WikidataQ129218015 ScholiaQ129218015MaRDI QIDQ1784712

Yaoyuan Vincent Tan, Carol A. C. Flannagan, Michael R. Elliott

Publication date: 27 September 2018

Published in: Statistics and Its Interface (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1609.07464


zbMATH Keywords

hierarchical modelsclassification and regression treesBayesian additive regression treesdriverless vehicleslongitudinal predictiontransportation statistics


Mathematics Subject Classification ID

Statistics (62-XX)


Related Items (1)

Robust Bayesian inference for big data: combining sensor-based records with traditional survey data







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