Mo Zhao

Safety, Risk, Reliability and Quality · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mo Zhao trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Diane Lambert
  2. M. Denwood
  3. Jonathan Aguero-Valverde
  4. D. Lord
  5. Narayanaswamy Venkataraman

Papers from Mo Zhao's perspective

Ordered by how strongly the researchers Mo Zhao trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Poisson, Poisson-gamma and zero-inflated regression models of motor vehicle crashes: balancing statistical fit and theory. (Accident Analysis and Prevention)
  2. Zero-inflated Poisson regression, with an application to defects in manufacturing
  3. Temporal instability and the analysis of highway accident data
  4. Bayesian Multivariate Poisson Lognormal Models for Crash Severity Modeling and Site Ranking
  5. The analysis of vehicle crash injury-severity data: A Markov switching approach with road-segment heterogeneity
  6. Severity of driver injury and vehicle damage in traffic crashes at intersections: a Bayesian hierarchical analysis. (Accident Analysis and Prevention)
  7. A heterogeneity-in-means count model for evaluating the effects of interchange type on heterogeneous influences of interstate geometrics on crash frequencies
  8. Multivariate random parameters collision count data models with spatial heterogeneity
  9. runjags: An R Package Providing Interface Utilities, Model Templates, Parallel Computing Methods and Additional Distributions for MCMC Models in JAGS
  10. Grouped random parameters bivariate probit analysis of perceived and observed aggressive driving behavior: A driving simulation study

Their papers