Hong Chang

with Chen · 1997

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Hong Chang trusts overall

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

1. S. Geisser
2. Andrew Gelman

Papers from Hong Chang's perspective

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

1. A Predictive Approach to Model Selection
2. Inference from Iterative Simulation Using Multiple Sequences
3. The Theory of Probability
4. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
5. Sampling-Based Approaches to Calculating Marginal Densities
6. INFERENCE AND MISSING DATA
7. Metropolis Methods, Gaussian Proposals and Antithetic Variables
8. [On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9.] Comment: Neyman (1923) and Causal Inference in Experiments and Observational Studies
9. Matched Sampling for Causal Effects: The Use of Matched Sampling and Regression Adjustment to Remove Bias in Observational Studies
10. Handling “Don't Know” Survey Responses: The Case of the Slovenian Plebiscite

Their papers

• Bayesian Approach for Nonlinear Random Effects Models (1997)