activity
20192021
most citedGeographically Weighted Regression Analysis for Spatial Economics Data: a Bayesian Recourse

5 citations · 5 across the 4 of their papers we have counts for

collaborators

5 papers

stat.ME2021

Dependent Dirichlet Processes for Analysis of a Generalized Shared Frailty Model

Chong Zhong, Zhihua Ma, Junshan Shen +1

Bayesian paradigm takes advantage of well fitting complicated survival models and feasible computing in survival analysis owing to the superiority in tackling the complex censoring…

stat.ME2020

Bayesian Hierarchical Spatial Regression Models for Spatial Data in the Presence of Missing Covariates with Applications

Zhihua Ma, Guanyu Hu, Ming-Hui Chen

In many applications, survey data are collected from different survey centers in different regions. It happens that in some circumstances, response variables are completely observe…

stat.AP20205 cited

Geographically Weighted Regression Analysis for Spatial Economics Data: a Bayesian Recourse

Zhihua Ma, Yishu Xue, Guanyu Hu

The geographically weighted regression (GWR) is a well-known statistical approach to explore spatial non-stationarity of the regression relationship in spatial data analysis. In th…

stat.AP2020

A Nonparametric Bayesian Item Response Modeling Approach for Clustering Items and Individuals Simultaneously

Guanyu Hu, Zhihua Ma, Insu Paek

Item response theory (IRT) is a popular modeling paradigm for measuring subject latent traits and item properties according to discrete responses in tests or questionnaires. There…

econ.EM2019

Heterogeneous Regression Models for Clusters of Spatial Dependent Data

Zhihua Ma, Yishu Xue, Guanyu Hu

In economic development, there are often regions that share similar economic characteristics, and economic models on such regions tend to have similar covariate effects. In this pa…