Elizabeth G. Ryan
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 Elizabeth G. Ryan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nicolas Chopin
- J. Bernardo
- Claude E. Shannon
- Jorge Nocedal
- K. Chaloner
- Xun Huan
- MARK A. Beaumont
- C. Drovandi
- Steve P. Brooks
- Youssef M. Marzouk
Who trusts Elizabeth G. Ryan overall
Papers from Elizabeth G. Ryan's perspective
Ordered by how strongly the researchers Elizabeth G. Ryan 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 Stochastic Approximation Method
- A sequential particle filter method for static models
- 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