James M. McGree
Statistics and Probability · 2016
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
- Statistics and Probability — 11 citations into it
- Artificial Intelligence — 6 citations into it
- Computational Theory and Mathematics — 5 citations into it
Whom James M. McGree trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from James M. McGree's perspective
Ordered by how strongly the researchers James M. McGree trusts endorse each paper. Same corpus, a different order for every researcher.
- On a Measure of the Information Provided by an Experiment
- Bayesian Experimental Design: A Review
- Expected Information as Expected Utility
- Approximate Bayesian computation in population genetics.
- A sequential particle filter method for static models
- A Stochastic Approximation Method
- Estimating Expected Information Gains for Experimental Designs With Application to the Random Fatigue-Limit Model
- Numerical optimization
- BAYESIAN THEORY
- Approximate Bayesian computation using indirect inference
Their papers
- A Review of Modern Computational Algorithms for Bayesian Optimal Design (2016) — 359 citations