Bayesian estimation for a parametric Markov Renewal model applied to seismic dataReport as inadecuate



 Bayesian estimation for a parametric Markov Renewal model applied to seismic data


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This paper presents a complete methodology for the Bayesian inference of a semi-Markov process, from the elicitation of the prior distribution, to the computation of posterior summaries, including a guidance for its JAGS implementation. The inter-occurrence times (conditional on the transition between two given states) are assumed to be Weibull-dis

Author: I. Epifani; L. Ladelli; A. Pievatolo

Source: https://archive.org/







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