Samuel Neuenschwander

Molecular Biology · 2003–2015

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

Subfields

Whom Samuel Neuenschwander trusts overall

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

  1. MARK A. Beaumont
  2. Laurent Excoffier
  3. Scott Anthony Sisson

Who trusts Samuel Neuenschwander overall

  1. Laurent Excoffier

Papers from Samuel Neuenschwander's perspective

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

  1. Sequential Monte Carlo without likelihoods
  2. Markov chain Monte Carlo without likelihoods
  3. Efficient Approximate Bayesian Computation Coupled With Markov Chain Monte Carlo Without Likelihood (Genetics)
  4. Generating samples under a Wright-Fisher neutral model of genetic variation (Bioinform.)
  5. Approximate Bayesian computation in population genetics.
  6. Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems
  7. Inference for Stereological Extremes
  8. The Bayesian revolution in genetics (Nature reviews genetics)
  9. Inferring coalescence times from DNA sequence data.
  10. Inferring population history with DIY ABC: a user-friendly approach to approximate Bayesian computation (Bioinform.)

Their papers