Donald S. Burdick
2013
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Donald S. Burdick trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Donald S. Burdick's perspective
Ordered by how strongly the researchers Donald S. Burdick trusts endorse each paper. Same corpus, a different order for every researcher.
- Dynamic Ideal Point Estimation via Markov Chain Monte Carlo for the U.S. Supreme Court, 1953–1999 (Political Analysis)
- Quantifying Response Dependence Between Two Dichotomous Items Using the Rasch Model
- The case for objective Bayesian analysis
- Monte Carlo Statistical Methods
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- Computational and Inferential Difficulties with Mixture Posterior Distributions
- Probabilistic Inference Using Markov Chain Monte Carlo Methods
- Objective Bayesian Analysis of Spatially Correlated Data
- Gaussian Process Models for Computer Experiments With Qualitative and Quantitative Factors
- An Introduction to Bayesian Analysis: Theory and Methods
Their papers
- Bayesian analysis of dynamic item response models in educational testing (2013) — 70 citations