M. Rigby

Artificial Intelligence · 2008–2016

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom M. Rigby trusts overall

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

  1. Peter J. Green
  2. Albert Tarantola
  3. Alexander Shapiro
  4. Alberto Malinverno
  5. David I. Hastie
  6. Malcolm Sambridge

Papers from M. Rigby's perspective

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

  1. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
  2. Information Theory, Inference, and Learning Algorithms
  3. Inverse problem theory - and methods for model parameter estimation
  4. Weak convergence and optimal scaling of random walk Metropolis algorithms
  5. Inverse problems in atmospheric constituent transport
  6. Monte Carlo Sampling Methods Using Markov Chains and Their Applications
  7. Expanded uncertainty quantification in inverse problems: Hierarchical Bayes and empirical Bayes
  8. Monte Carlo Sampling Methods
  9. Trans-dimensional inverse problems, model comparison and the evidence
  10. Trans-dimensional Markov chain Monte Carlo

Their papers