Fast Bayesian inference for modeling multivariate crash counts

By V. Serhiyenko, S. Mamun, J. Ivan, Nalini Ravishanker. 2016

58 citations recorded by the source corpus.

Subfields: Pulmonary and Respiratory Medicine, Safety, Risk, Reliability and Quality, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/b53328fcee97da08003f0a2ae9e92ee7b669be05

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Pulmonary and Respiratory Medicine

1. Anuj Sharma
2. Mo Zhao
3. Wei Li
4. Chenhui Liu

In Safety, Risk, Reliability and Quality

1. Anuj Sharma
2. Mo Zhao
3. Wei Li
4. Chenhui Liu

In Statistics and Probability

1. Anuj Sharma
2. Mo Zhao
3. Wei Li
4. Chenhui Liu

Citations in the corpus

• Multivariate random parameters zero-inflated negative binomial regression for analyzing urban midblock crashes (2018, methodology): “…log-normal (MVPLN) model (Ma et al., 2008; El-Basyouny and Sayed, 2009; Aguero-Valverde and Jovanis, 2010; Barua et al., 2014; Zhan et al., 2015; Serhiyenko et al., 2016; Huang et al., 2017; Osama and Sayed, 2017; Zhao et al., 2017; Wang et al., 2018), which is flexible enough to accommodate…”