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09/29/2022
Robust Bayesian Non-segmental Detection of Multiple Change-points
Change-points detection has long been important and active research area...
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09/08/2021
Dependent Dirichlet Processes for Analysis of a Generalized Shared Frailty Model
Bayesian paradigm takes advantage of well fitting complicated survival m...
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07/05/2020
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...
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07/05/2020
Geographically Weighted Regression Analysis for Spatial Economics Data: a Bayesian Recourse
The geographically weighted regression (GWR) is a well-known statistical...
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05/29/2020
A Nonparametric Bayesian Item Response Modeling Approach for Clustering Items and Individuals Simultaneously
Item response theory (IRT) is a popular modeling paradigm for measuring ...
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04/25/2020
Bayesian Clustered Coefficients Regression with Auxiliary Covariates Assistant Random Effects
In regional economics research, a problem of interest is to detect simil...
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07/04/2019
