Models of the core, lithospheric, non-polar ionospheric and large-scale magnetospheric fields are derived using two independent chain branches: in the Comprehensive Inversion (CI) chain these sources are co-estimated in one huge inversion process; details are given in Sabaka et al. (2013).
The model was run using three independent chains with a burn-in of 2000 iterations for each.
The Bayesian analyses were carried out using two independent Markov chains and for 1,000,000 generations.
Posterior distributions of parameters were approximated using two independent Markov chain Monte Carlo analyses of twenty million generations followed by a discarded burnin of 2,000,000 generations (10%).
The BEASTv1.5.4 tree was created using two independent Bayesian MCMC chains (10 million steps, 10% burn-in) run under the WAG amino acid substitution model [62] and rate heterogeneity among sites (four category gamma distribution rate).
The analysis was executed using two independent Monte Carlo Markov Chains and the CAT model.
Bayesian support (posterior probability) for the nodes [68] were inferred using two independent runs and four Markov chains and 5,000,000 Markov Chain Monte Carlo (MCMC) steps, discarding the first 2,000,000 steps (40%) as a burn-in.
Phylogenetic trees were generated by the Bayesian method with MrBayes 3.1.2 (Huelsenbeck and Ronquist 2001; Ronquist and Huelsenbeck 2003) using two independent runs (each with four chains).
Trees were inferred using MrBayes ver3.1.1 [ 86] using two independent runs, each with 4 chains and unlinked data partitions for 10,000,000 generations and trees were sampled every 1000 generations.
Bayesian analyses were performed using two independent runs of four Metropolis-coupled chains of 10 million generations each to estimate the posterior probability distribution.
