19 citations · 48 across the 8 of their papers we have counts for
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stat.ME2022★ 3 cited
A General Framework for Cutting Feedback within Modularised Bayesian Inference
Yang Liu, Robert J. B. Goudie
Standard Bayesian inference can build models that combine information from various sources, but this inference may not be reliable if components of a model are misspecified. Cut in…
stat.ME2021★ 19 cited
Generalized Geographically Weighted Regression Model within a Modularized Bayesian Framework
Yang Liu, Robert J. B. Goudie
Geographically weighted regression (GWR) models handle geographical dependence through a spatially varying coefficient model and have been widely used in applied science, but its g…
stat.ME2020★ 18 cited
Stochastic Approximation Cut Algorithm for Inference in Modularized Bayesian Models
Yang Liu, Robert J. B. Goudie
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 app…