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  A Bayesian vector autoregression-based data analytics approach to enable irregularly-spaced mixed-frequency traffic collision data imputation with missing values
 
 
Title: A Bayesian vector autoregression-based data analytics approach to enable irregularly-spaced mixed-frequency traffic collision data imputation with missing values
Author: Li, Zhenning
Yu, Hao
Zhang, Guohui
Wang, Jun
Appeared in: Transportation research. Part C, Emerging technologies
Paging: Volume 108 (2019) nr. C pages 302-319
Year: 2019
Contents:
Publisher: Elsevier Ltd
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

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