Markov chain Monte Carlo (MCMC) sampling methods to determine optimal models, model resolution and model choice for Earth Science problems

By K. Gallagher, Karl Charvin, S. Nielsen, Malcolm Sambridge, John Stephenson. 2009

285 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Environmental Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/7579378897b9ef76a35a0652a89240b5b34826ed

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Junichi Fukuda
2. K. Johnson
3. A. Hooper
4. Marco Bagnardi

In Statistics and Probability

1. Junichi Fukuda
2. K. Johnson

Citations in the corpus

• Mixed linear-non-linear inversion of crustal deformation data: Bayesian inference of model, weighting and regularization parameters (2010, background): “…to geophysical inverse problems include Mosegaard & Tarantola (1995), Mosegaard et al. (1997), Grandis et al. (1999), Schott et al. (1999), Malinverno (2002), Khan et al. (2007), and Gallagher et al. (2009) (see also Mosegaard & Sambridge (2002) and Sambridge & Mosegaard (2002) for reviews).”