Q. Zeng
Safety, Risk, Reliability and Quality · with Huang · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Safety, Risk, Reliability and Quality — 13 citations into it
- Transportation — 9 citations into it
Whom Q. Zeng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Q. Zeng's perspective
Ordered by how strongly the researchers Q. Zeng trusts endorse each paper. Same corpus, a different order for every researcher.
- Bayesian multivariate spatial models for roadway traffic crash mapping
- Bayesian measures of model complexity and fit
- WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility (Statistics and computing)
- Bayesian Multivariate Poisson Regression for Models of Injury Count, by Severity
- Accident Prediction Models With and Without Trend: Application of the Generalized Estimating Equations Procedure
- Multivariate Poisson-Lognormal Models for Jointly Modeling Crash Frequency by Severity
- Incorporating spatial dependence in simultaneously modeling crash frequency and severity
- Random parameters multivariate tobit and zero-inflated count data models: addressing unobserved and zero-state heterogeneity in accident injury-severity rate and frequency analysis
- The effects of driver fatigue, gender, and distracted driving on perceived and observed aggressive driving behavior: A correlated grouped random parameters bivariate probit approach (Analytic Methods in Accident Research)
- Incorporating temporal correlation into a multivariate random parameters Tobit model for modeling crash rate by injury severity