K. Johnson

Geophysics · with Biasi · 2008–2014

A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom K. Johnson trusts overall

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

  1. Alberto Malinverno
  2. David John Cameron MacKay
  3. Vivek S. Borkar
  4. Junichi Fukuda

Who trusts K. Johnson overall

  1. Marco Bagnardi
  2. A. Hooper
  3. Junichi Fukuda

Papers from K. Johnson's perspective

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

  1. Information Theory, Inference, and Learning Algorithms
  2. Monte Carlo Sampling Methods Using Markov Chains and Their Applications
  3. Expanded uncertainty quantification in inverse problems: Hierarchical Bayes and empirical Bayes
  4. Parameter estimation and inverse problems
  5. Equation of State Calculations by Fast Computing Machines
  6. Parsimonious Bayesian Markov chain Monte Carlo inversion in a nonlinear geophysical problem
  7. A Fully Bayesian Inversion for Spatial Distribution of Fault Slip with Objective Smoothing
  8. Markov chain Monte Carlo (MCMC) sampling methods to determine optimal models, model resolution and model choice for Earth Science problems
  9. A Common Origin for Aftershocks, Foreshocks, and Multiplets
  10. Seismic moment distribution revisited: I. Statistical results

Their papers