Mikael Sunnåker

Statistics and Probability · 2013

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mikael Sunnåker trusts overall

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

  1. Michael G. B. Blum
  2. MARK A. Beaumont
  3. Paul Marjoram
  4. Tina Toni
  5. Scott Anthony Sisson
  6. Paul Joyce
  7. Paul Fearnhead
  8. Thomas Gerstner
  9. Sylvain Arlot
  10. Pierre Del Moral

Papers from Mikael Sunnåker's perspective

Ordered by how strongly the researchers Mikael Sunnåker 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. Approximate Bayesian computation scheme for parameter inference and model selection in dynamical systems
  4. Approximate Bayesian computation in population genetics.
  5. Non-linear regression models for Approximate Bayesian Computation (Statistics and computing)
  6. Constructing summary statistics for approximate Bayesian computation: semi‐automatic approximate Bayesian computation
  7. Monte Carlo Methods of Inference for Implicit Statistical Models
  8. Approximate Bayesian Computation in Evolution and Ecology
  9. Adaptive approximate Bayesian computation
  10. Approximate Bayesian Computation (ABC) in practice. (Trends in Ecology & Evolution)

Their papers