Statistical methods such as Monte Carlo Markov Chain (MCMC) coupled with Bayesian approach proved its usefulness to the Electrical Capacitance Tomography (ECT) inverse problem solution. However, this methodology is very sensitive to the values of method parameters. The dedicated tool for investigation of this statistical method and for algorithm adjusting, testing, verification and optimization is proposed in the paper.
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