Jean-Marie Cornuet

Artificial Intelligence · 2000–2014

A researcher in the Science corpus: 14 papers; trusts 50 researchers and is trusted by 41 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it; #6,176 of 35,345 by trust here, #9,369 by citations
• Statistics and Probability — 45 citations into it; #1,375 of 12,932 by trust here, #1,034 by citations
• Genetics — 44 citations into it; #824 of 6,854 by trust here, #892 by citations
• Molecular Biology — 28 citations into it
• Probabilistic & Bayesian Methods — 17 citations into it
• Plant Science — 10 citations into it
• Mathematical Physics — 8 citations into it
• Computational Biology & Bioinformatics — 6 citations into it

Whom Jean-Marie Cornuet trusts overall

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

1. MARK A. Beaumont
2. Tim Hesterberg
3. Matthew Stephens
4. Olivier Capp'e
5. Reuven Y. Rubinstein
6. Arnaud Doucet
7. John K. Kruschke
8. Pierre Del Moral
9. Heikki Haario
10. Laurent Excoffier

Who trusts Jean-Marie Cornuet overall

1. MARK A. Beaumont
2. Arnaud Estoup
3. Jean-Michel Marin
4. Christian P. Robert
5. Peter J. Green
6. Aki Vehtari
7. Pierre Pudlo
8. Paul Fearnhead
9. Katalin Csill'ery
10. Robin S. Waples

Papers from Jean-Marie Cornuet's perspective

Ordered by how strongly the researchers Jean-Marie Cornuet trusts endorse each paper. Same corpus, a different order for every researcher.

1. Markov chain Monte Carlo without likelihoods
2. Sequential Monte Carlo without likelihoods
3. Population Monte Carlo
4. Inference in molecular population genetics
5. Monte Carlo Strategies in Scientific Computing
6. Approximate Bayesian computation in population genetics.
7. Sequential Monte Carlo samplers
8. Inference for Stereological Extremes
9. Estimation of population growth or decline in genetically monitored populations.
10. Efficient Approximate Bayesian Computation Coupled With Markov Chain Monte Carlo Without Likelihood (Genetics)

Their papers

• Adaptive approximate Bayesian computation (2008) — 679 citations
• Lack of confidence in approximate Bayesian computation model choice (2011) — 330 citations
• Adaptive Multiple Importance Sampling (2009) — 286 citations
• Inferring population history with DIY ABC: a user-friendly approach to approximate Bayesian computation (2008) — 726 citations
• Inference on population history and model checking using DNA sequence and microsatellite data with the software DIYABC (v1.0) (2010) — 484 citations
• DIYABC v2.0: a software to make approximate Bayesian computation inferences about population history using single nucleotide polymorphism, DNA sequence and microsatellite data (2014) — 998 citations
• Reliable ABC model choice via random forests (2014) — 368 citations
• Insights into social insects from the genome of the honeybee Apis mellifera (2006) — 1,446 citations
• Estimating effective population size from linkage disequilibrium: severe bias in small samples (2006) — 174 citations
• GENECLASS2: a software for genetic assignment and first-generation migrant detection. (2004) — 2,554 citations
• Five hundred and fifty microsatellite markers for the study of the honeybee (Apis mellifera L.) genome (2003) — 215 citations
• Characterization of nine polymorphic microsatellite loci in the fungus Botrytis cinerea (Ascomycota) (2002) — 104 citations
• Homoplasy and mutation model at microsatellite loci and their consequences for population genetics analysis (2002) — 930 citations
• Molecular confirmation of a fourth lineage in honeybees from the Near East (2000) — 214 citations