Transdimensional inversion of receiver functions and surface wave dispersion

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Seismic imaging: From classical to adjoint tomography (2012, background): “…originated from ferromagnetic, thermodynamic and cellular systems; prime examples include simulated annealing (Iyer andHirahara, 1993;Weber, 2000), genetic algorithm (Bodin et al., 2012; Koper et al., 1999; Sambridge and Drijkoningen, 1992) and neural network algorithm (Meier et al., 2007a,2007b).”
Transdimensional tomography with unknown data noise (2012, background): “…sciences and has been applied to a wide range of areas (e.g. Malinverno 2002; Stephenson et al. 2004, 2006; Jasra et al. 2006; Hopcroft et al. 2009; Charvin et al. 2009; Gallagher et al. 2011; Dettmer et al. 2010; Luo 2010; Piana Agostinetti & Malinverno 2010; Minsley 2011; Bodin et al. 2012).”
Receiver function deconvolution using transdimensional hierarchical Bayesian inference (2014, methodology): “Bodin et al. (2012) suggest two parametrizations for the covariance matrix: type 1, an exponentially decaying correlation (eq.”