Robin J. Ryder

Statistics and Probability · 2011

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 19 citations into it; #2,256 of 12,932 by trust here, #2,365 by citations
• Artificial Intelligence — 16 citations into it; #6,975 of 35,345 by trust here, #11,624 by citations
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Robin J. Ryder trusts overall

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

1. Håvard Rue
2. MARK A. Beaumont
3. Donald B. Rubin
4. Stergios B. Fotopoulos
5. Jean-Marie Cornuet

Who trusts Robin J. Ryder overall

1. Michael U Gutmann
2. Balaji Lakshminarayanan
3. Edward Meeds
4. Joeri Hermans
5. Gilles Louppe
6. Richard Geoffrey Everitt
7. Yura N. Perov
8. Dustin Tran

Papers from Robin J. Ryder's perspective

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

1. Markov chain Monte Carlo without likelihoods
2. Sampling-Based Approaches to Calculating Marginal Densities
3. Sequential Monte Carlo without likelihoods
4. Sequential Monte Carlo samplers
5. Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems
6. Adaptive approximate Bayesian computation
7. Gaussian Markov Random Fields: Theory and Applications
8. Bayesianly Justifiable and Relevant Frequency Calculations for the Applied Statistician
9. Inferring population history with DIY ABC: a user-friendly approach to approximate Bayesian computation (Bioinform.)
10. Approximate Bayesian computation in population genetics.

Their papers

• Approximate Bayesian computational methods (2011) — 915 citations