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- W2034861105 abstract "In estimating individual choice behaviour using multivariate aggregate choice data, the method of data augmentation requires the imputation of individual choices given their partial sums. This article proposes and develops an efficient procedure of simulating multivariate individual choices given their aggregate sums, capitalizing on a sequence of auxiliary distributions. In this framework, a joint distribution of multiple binary vectors given their sums is approximated as a sequence of conditional Bernoulli distributions. The proposed approach is evaluated through a simulation study and is applied to a political science study." @default.
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- W2034861105 date "2014-10-28" @default.
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- W2034861105 title "Efficient Bayesian analysis of multivariate aggregate choices" @default.
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- W2034861105 doi "https://doi.org/10.1080/00949655.2014.973411" @default.
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