F. Rubio

Statistics and Probability · with Díaz-Francés · 2013–2014

A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 24 citations into it; #9,403 of 12,932 by trust here, #12,603 by citations
• Artificial Intelligence — 13 citations into it; #25,369 of 35,345 by trust here, #34,943 by citations
• Probabilistic & Bayesian Methods — 5 citations into it

Whom F. Rubio trusts overall

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

1. Julian Besag
2. John P. Nolan
3. Peter J. Diggle
4. Laura Ventura
5. Scott Anthony Sisson
6. MARK A. Beaumont
7. Christophe Abraham
8. K. Wallis
9. George Marsaglia
10. Paul Marjoram

Who trusts F. Rubio overall

1. Wentao Li
2. Paul Fearnhead

Papers from F. Rubio's perspective

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

1. Sequential Monte Carlo without likelihoods
2. Monte Carlo Methods of Inference for Implicit Statistical Models
3. Markov chain Monte Carlo without likelihoods
4. Constructing summary statistics for approximate Bayesian computation: semi‐automatic approximate Bayesian computation
5. Approximate Bayesian computation in population genetics.
6. Statistical Analysis of Non-Lattice Data
7. Maximum likelihood estimation and diagnostics for stable distributions
8. Approximate Bayesian computational methods (Statistics and computing)
9. Objective priors for the bivariate normal model
10. An invariant form for the prior probability in estimation problems

Their papers

• A simple approach to maximum intractable likelihood estimation (2013) — 53 citations
• Inference in two-piece location-scale models with Jeffreys priors (2014) — 59 citations
• On the existence of a normal approximation to the distribution of the ratio of two independent normal random variables (2013) — 158 citations