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Bayesian significance test for discriminating between survival distributions
[article]
2017
arXiv
pre-print
An evaluation of FBST, Fully Bayesian Significance Test, restricted to survival models is the main objective of the present paper. A Survival distribution should be chosen among the tree celebrated ones, lognormal, gamma, and Weibull. For this discrimination, a linear mixture of the three distributions, for which the mixture weights are defined by a Dirichlet distribution of order three, is an important tool: the FBST is used to test the hypotheses defined on the mixture weights space. Another
arXiv:1705.11073v1
fatcat:gllwscwut5g3jlhgvgjpnltlia