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Bayesian Hierarchical Spatial Regression Models for Spatial Data in the Presence of Missing Covariates with Applications
In many applications, survey data are collected from different survey ce...
07/05/2020 ∙ by Zhihua Ma, et al. ∙
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Geographically Weighted Regression Analysis for Spatial Economics Data: a Bayesian Recourse
The geographically weighted regression (GWR) is a well-known statistical...
07/05/2020 ∙ by Zhihua Ma, et al. ∙
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A Nonparametric Bayesian Item Response Modeling Approach for Clustering Items and Individuals Simultaneously
Item response theory (IRT) is a popular modeling paradigm for measuring ...
05/29/2020 ∙ by Guanyu Hu, et al. ∙
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Bayesian Clustered Coefficients Regression with Auxiliary Covariates Assistant Random Effects
In regional economics research, a problem of interest is to detect simil...
04/25/2020 ∙ by Guanyu Hu, et al. ∙
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Bayesian Heterogeneity Pursuit Regression Models for Spatially Dependent Data
Most existing spatial clustering literatures discussed the cluster algor...
07/04/2019 ∙ by Zhihua Ma, et al. ∙
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