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Entropy indicates a measure of information contained in a complex system, and its estimation continues to receive ongoing focus in the case of multivariate data, particularly that on the unit simplex. Oftentimes the Dirichlet distribution is employed as choice of prior in a Bayesian framework conjugate to the popular multinomial likelihood with K d...
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... it is known that the prior distribution plays a vital role in Bayesian analysis it is important to be able to quantify the impact of each prior in order to choose between one or more priors [7]. In order to measure the impact of the different priors, the WIM [7] was considered and reported in Table 2. These results were calculated by considering the estimated parameters as reported in Figure 7-9 for each of the entropy measures investigated. ...Similar publications
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