MLNDMediastinal Lymph-Node Dissection
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N] and X, the likelihood function of the MLND model is
In this section, we will carry out some Monte Carlo simulations to test our algorithm effect for estimating unknown parameters of the MLND model (1).
This paper gives out parameters estimation method of the MLND model (1) by the use of gibbs sampling algorithm in the bayesian framework, and some Monte Carlo simulations are been carried out to investigate the performance of the estimation technique.