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Showing 1 to 2 of 2 for “"Adaptive Rejection Metropolis Sampling"”.
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Clustering Analysis of Zernike Coefficients Through Quantile Regression
… and pupil size. We employ Gibbs sampler and adaptive rejection Metropolis sampling to infer the parameters for each cluster. Bayesian information criterion (BIC) combined with a measure of uncertainty are used to determine the number of clusters. A comparison of likelihoods between the …
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Bayesian Approach Dealing with Mixture Model Problems
… related to mixture models. The first topic is Adaptive Rejection Metropolis Simulated Annealing for Detecting Global Maximum Regions, and the second topic is Bayesian Model Selection for Nonlinear Mixed Effects Model. In the first topic, we consider a finite mixture model, which is used to fit …