M. Lunt

with Ganesan · 2016

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom M. Lunt 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
  7. T. Bodin
  8. Peter J. Green
  9. David John Cameron MacKay
  10. A. Ganesan

Papers from M. Lunt's perspective

Ordered by how strongly the researchers M. Lunt 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. Expanded uncertainty quantification in inverse problems: Hierarchical Bayes and empirical Bayes
  5. Monte Carlo Sampling Methods Using Markov Chains and Their Applications
  6. Trans-dimensional inverse problems, model comparison and the evidence
  7. Monte Carlo Sampling Methods
  8. Trans-dimensional Markov chain Monte Carlo
  9. On aggregation errors in atmospheric transport inversions
  10. Characterization of uncertainties in atmospheric trace gas inversions using hierarchical Bayesian methods

Their papers