Predicting human-driving behavior to help driverless vehicles drive: random intercept Bayesian additive regression trees
type: Item
instance of: scholarly article
title: Predicting human-driving behavior to help driverless vehicles drive: random intercept Bayesian additive regression trees
author: Yaoyuan Vincent Tan
author: Carol A. C. Flannagan
author: Michael R. Elliott
published in: Statistics and Its Interface
publication date: 2018-09-27T00:00:00Z
full work available at URL: https://arxiv.org/abs/1609.07464
Mathematics Subject Classification ID: 62-XX
zbMATH DE Number: 6944666
zbMATH Keywords: Bayesian additive regression trees
zbMATH Keywords: classification and regression trees
zbMATH Keywords: driverless vehicles
zbMATH Keywords: hierarchical models
zbMATH Keywords: longitudinal prediction
zbMATH Keywords: transportation statistics
MaRDI profile type: Publication
Wikidata QID: Q129218015
DOI: 10.4310/SII.2018.V11.N4.A1
description: scientific article; zbMATH DE number 6944666