Inference of past climate from borehole temperature data using Bayesian reversible jump Markov chain Monte Carlo

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Seismic tomography with the reversible jump algorithm (2009, methodology): “At both extremes, convergence would be inhibited (Hopcroft et al. 2007).”
Markov chain Monte Carlo (MCMC) sampling methods to determine optimal models, model resolution and model choice for Earth Science problems (2009, background): “…of the reversible jump acceptance criterion are discussed in mode detail by Green (1995, 2001, 2003), Malinverno (2002), and Sambridge et al. (2006) and examples of the implementation algorithms for variable dimension problems are given in Charvin et al. (in press-a) and Hopcroft et al. (2007).”