Katalin Csill'ery

Statistics and Probability · 2011

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 10 citations into it; #9,586 of 12,932 by trust here, #9,233 by citations
• Artificial Intelligence — 8 citations into it; #25,771 of 35,345 by trust here, #29,412 by citations
• Genetics — 6 citations into it

Whom Katalin Csill'ery trusts overall

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

1. MARK A. Beaumont
2. Jean-Marie Cornuet
3. Michael G. B. Blum
4. Scott Anthony Sisson
5. P. Bortot
6. Wen Huang
7. Olivier Francois
8. David J. Balding
9. Wenyang Zhang
10. Yanan Fan

Who trusts Katalin Csill'ery overall

1. Rafael Izbicki
2. Michael G. B. Blum
3. Ann B. Lee
4. Matthew A. Nunes
5. Dennis Prangle

Papers from Katalin Csill'ery's perspective

Ordered by how strongly the researchers Katalin Csill'ery trusts endorse each paper. Same corpus, a different order for every researcher.

1. Markov chain Monte Carlo without likelihoods
2. Approximate Bayesian Computation (ABC) in practice. (Trends in Ecology & Evolution)
3. Generating samples under a Wright-Fisher neutral model of genetic variation (Bioinform.)
4. Non-linear regression models for Approximate Bayesian Computation (Statistics and computing)
5. Sequential Monte Carlo without likelihoods
6. Approximate Bayesian computation in population genetics.
7. Inference for Stereological Extremes
8. Inferring population history with DIY ABC: a user-friendly approach to approximate Bayesian computation (Bioinform.)
9. Joint determination of topology, divergence time, and immigration in population trees
10. COMPUTER PROGRAMS: onesamp: a program to estimate effective population size using approximate Bayesian computation (Molecular Ecology Resources)

Their papers

• abc: an R package for approximate Bayesian computation (ABC) (2011) — 693 citations