Daniel Wegmann
Genetics · 2009–2012
A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Genetics — 39 citations into it; #5,045 of 6,854 by trust here, #3,155 by citations
- Molecular Biology — 22 citations into it
- Statistics and Probability — 14 citations into it; #2,868 of 12,932 by trust here, #3,411 by citations
- Artificial Intelligence — 11 citations into it; #10,131 of 35,345 by trust here, #19,439 by citations
Whom Daniel Wegmann trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- MARK A. Beaumont
- Laurent Excoffier
- Scott Anthony Sisson
- P. Bortot
- Paul Marjoram
- David J. Balding
- Jean-Marie Cornuet
- Tina Toni
- Rasmus Nielsen
- Yanan Fan
Who trusts Daniel Wegmann overall
- MARK A. Beaumont
- Arnaud Estoup
- Laurent Excoffier
- Scott Anthony Sisson
- Paul Fearnhead
- Michael U Gutmann
- Jean-Marie Cornuet
- Michael G. B. Blum
- Christian P. Robert
- Shigeki Nakagome
Papers from Daniel Wegmann's perspective
Ordered by how strongly the researchers Daniel Wegmann trusts endorse each paper. Same corpus, a different order for every researcher.
- Sequential Monte Carlo without likelihoods
- Efficient Approximate Bayesian Computation Coupled With Markov Chain Monte Carlo Without Likelihood (Genetics)
- Generating samples under a Wright-Fisher neutral model of genetic variation (Bioinform.)
- Approximate Bayesian computation in population genetics.
- Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems
- Inference for Stereological Extremes
- The Bayesian revolution in genetics (Nature reviews genetics)
- Inferring coalescence times from DNA sequence data.
- Markov chain Monte Carlo without likelihoods
- BMC Bioinformatics
Their papers
- Efficient Approximate Bayesian Computation Coupled With Markov Chain Monte Carlo Without Likelihood (2009) — 397 citations
- ABCtoolbox: a versatile toolkit for approximate Bayesian computations (2010) — 364 citations
- An abundance of rare functional variants in 202 drug target genes sequenced in 14,002 people (2012) — 717 citations