Hui-yong Zhang

2013

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Hui-yong Zhang trusts overall

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

1. Daniel Eaton
2. Kara M. Kockelman

Papers from Hui-yong Zhang's perspective

Ordered by how strongly the researchers Hui-yong Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

1. I and J
2. Bayesian structure learning using dynamic programming and MCMC
3. Driver injury severity: an application of ordered probit models. (Accident Analysis and Prevention)
4. Enhancing the Predictive Performance of BayesianGraphical
5. Causation, Prediction, and Search
6. Causal Discovery from a Mixture of Experimental and Observational Data
7. Bayesian Graphical Models for Discrete Data
8. Interventions and Causal Inference
9. Improving Markov Chain Monte Carlo Model Search for Data Mining
10. Structured Priors for Structure Learning

Their papers

• Prediction for Traffic Accident Severity: Comparing the Bayesian Network and Regression Models (2013) — 81 citations