Stochastic approximation cut algorithm for inference in modularized Bayesian models
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Bayesian modelling enables us to accommodate complex forms of data and make a comprehensive inference, but the effect of partial misspecification of the model is a concern. One approach in this setting is to modularize the model and prevent feedback from suspe... ...
