Simon Lyddon

Statistics and Probability · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Simon Lyddon trusts overall

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

  1. Bradley Efron
  2. Clayton D. Scott
  3. Victor Chernozhukov
  4. Pier Giovanni Bissiri
  5. Christopher C. Holmes
  6. Han Hong
  7. Bob Carpenter
  8. Philippe Huber
  9. Stephen G. Walker
  10. Gary Chamberlain

Papers from Simon Lyddon's perspective

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

  1. Bootstrap Methods: Another Look at the Jackknife
  2. Nonparametric Applications of Bayesian Inference
  3. On Information and Sufficiency
  4. Convexity, Classification, and Risk Bounds
  5. Stan: A Probabilistic Programming Language
  6. The behavior of maximum likelihood estimates under nonstandard conditions
  7. An MCMC approach to classical estimation
  8. A general framework for updating belief distributions
  9. On a Measure of the Information Provided by an Experiment
  10. Do we need hundreds of classifiers to solve real world classification problems?

Their papers