Finite mixture Negative Binomial-Lindley for modeling heterogeneous crash data with many zero observations

Derivation of the Empirical Bayesian method for the Negative Binomial-Lindley generalized linear model with application in traffic safety

(2022) Ali Khodadadi et al.   ACCIDENT ANALYSIS AND PREVENTION

Application of different negative binomial parameterizations to develop safety performance functions for non-federal aid system roads

(2021) Ali Khodadadi et al.   ACCIDENT ANALYSIS AND PREVENTION

A random parameters with heterogeneity in means and Lindley approach to analyze crash data with excessive zeros: A case study of head-on heavy vehicle crashes in Queensland

(2021) Krishna N.S. Behara et al.   ACCIDENT ANALYSIS AND PREVENTION

Exploration of Hazardous Material Truck Crashes on Wyoming’s Interstate Roads using a Novel Hamiltonian Monte Carlo Markov Chain Bayesian Inference

(2020) Irfan U. Ahmed et al.   TRANSPORTATION RESEARCH RECORD

A simulation analysis to study the temporal and spatial aggregations of safety datasets with excess zero observations

(2020) Mohammadali Shirazi et al.   Transportmetrica A-Transport Science

Characteristics-based heuristics to select a logical distribution between the Poisson-gamma and the Poisson-lognormal for crash data modelling

(2019) Mohammadali Shirazi et al.   Transportmetrica A-Transport Science

Empirical Bayes estimates of finite mixture of negative binomial regression models and its application to highway safety

(2017) Yajie Zou et al.   JOURNAL OF APPLIED STATISTICS

Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC

(2016) Aki Vehtari et al.   STATISTICS AND COMPUTING

A caution about using deviance information criterion while modeling traffic crashes

(2013) Srinivas Reddy Geedipally et al.   SAFETY SCIENCE

The heterogeneous effects of guardian supervision on adolescent driver-injury severities: A finite-mixture random-parameters approach

(2013) Yingge Xiong et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

Effects of low sample mean values and small sample size on the estimation of the fixed dispersion parameter of Poisson-gamma models for modeling motor vehicle crashes: A Bayesian perspective

(2007) Dominique Lord et al.   SAFETY SCIENCE