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- W2889847597 abstract "A method for implicit variable selection in mixture-of-experts frameworks is proposed.We introduce a prior structure where information is taken from a set of independentcovariates. Robust class membership predictors are identified using a normal gammaprior. The resulting model setup is used in a finite mixture of Bernoulli distributionsto find homogenous clusters of women in Mozambique based on their informationsources on HIV. Fully Bayesian inference is carried out via the implementation of aGibbs sampler." @default.
- W2889847597 created "2018-09-27" @default.
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- W2889847597 date "2019-02-21" @default.
- W2889847597 modified "2023-10-13" @default.
- W2889847597 title "Bayesian shrinkage in mixture-of-experts models: identifying robust determinants of class membership" @default.
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- W2889847597 doi "https://doi.org/10.1007/s11634-019-00353-y" @default.
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