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B1834
Title: Inference for logistic-normal mixtures with heterogeneous components Authors:  Juan Shen - Fudan University (China) [presenting]
Abstract: Subgroup analysis with unspecified subgroup memberships has received much attention in recent years. We firstly propose a structured logistic-normal mixture model to model the subgroup distributions and the subgroup membership simultaneously, but under the assumption that the subgroups differ only in the means. Next, we consider a penalized likelihood approach for more general cases with heterogeneous subgroup variances. Empirical results with a simulation study and two real data examples demonstrate the usefulness of the proposed method.