Marco Bagnardi

Geophysics · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Marco Bagnardi trusts overall

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

  1. Junichi Fukuda
  2. K. Johnson
  3. Malcolm Sambridge
  4. Rowena Lohman
  5. Mark Simons
  6. S. Minson
  7. T. J. Wright
  8. Gareth O. Roberts
  9. Klaus Mosegaard
  10. Zhong Lu

Papers from Marco Bagnardi's perspective

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

  1. Monte Carlo Sampling Methods Using Markov Chains and Their Applications
  2. A Fully Bayesian Inversion for Spatial Distribution of Fault Slip with Objective Smoothing
  3. Some thoughts on the use of InSAR data to constrain models of surface deformation: Noise structure and data downsampling
  4. Optimal scaling for various Metropolis-Hastings algorithms
  5. Weak convergence and optimal scaling of random walk Metropolis algorithms
  6. Accounting for prediction uncertainty when inferring subsurface fault slip
  7. Source model for the Mw 6.7, 23 October 2002, Nenana Mountain Earthquake (Alaska) from InSAR
  8. Mixed linear-non-linear inversion of crustal deformation data: Bayesian inference of model, weighting and regularization parameters
  9. MONTE CARLO METHODS IN GEOPHYSICAL INVERSE PROBLEMS
  10. Bayesian inversion for finite fault earthquake source models I—theory and algorithm

Their papers