Arijus Pleska

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Arijus Pleska trusts overall

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

  1. MARK A. Beaumont
  2. Simon N. Wood
  3. Michael G. B. Blum
  4. Michael U Gutmann

Who trusts Arijus Pleska overall

  1. Jan-Matthis Lueckmann

Papers from Arijus Pleska's perspective

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

  1. Markov chain Monte Carlo without likelihoods
  2. Practical Bayesian Optimization of Machine Learning Algorithms
  3. Approximate Bayesian computation in population genetics.
  4. Non-linear regression models for Approximate Bayesian Computation (Statistics and computing)
  5. Adaptive approximate Bayesian computation
  6. Monte Carlo Methods of Inference for Implicit Statistical Models
  7. Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
  8. Statistical inference for noisy nonlinear ecological dynamic systems
  9. A comparative review of dimension reduction methods in approximate Bayesian computation
  10. Approximate Bayesian computational methods (Statistics and computing)

Their papers