1 citations · 2 across the 5 of their papers we have counts for
5 papers
A Bayesian Approach for Selecting Relevant External Data (BASE): Application to a study of Long-Term Outcomes in a Hemophilia Gene Therapy Trial
Tianyu Pan, Yiyao Shi, Xiang Zhang +2
Gene therapies aim to address the root causes of diseases, particularly those stemming from rare genetic defects that can be life-threatening or severely debilitating. Although an…
Precision education: A Bayesian nonparametric approach for handling item and examinee heterogeneity in assessment data
Tianyu Pan, Weining Shen, Clintin P. Davis-Stober +1
We propose a novel nonparametric Bayesian IRT model in this paper by introducing the clustering effect at question level and further assume heterogeneity at examinee level under ea…
Identifying latent groups in spatial panel data using a Markov random field constrained product partition model
Tianyu Pan, Guanyu Hu, Weining Shen
Understanding the heterogeneity over spatial locations is an important problem that has been widely studied in many applications such as economics and environmental science. In thi…
Spatial homogeneity learning for spatially correlated functional data with application to COVID-19 Growth rate curves
Tianyu Pan, Weining Shen, Guanyu Hu
We study the spatial heterogeneity effect on regional COVID-19 pandemic timing and severity by analyzing the COVID-19 growth rate curves in the United States. We propose a geograph…
Nonparametric Matrix Response Regression with Application to Brain Imaging Data Analysis
Wei Hu, Tianyu Pan, Dehan Kong +1
With the rapid growth of neuroimaging technologies, a great effort has been dedicated recently to investigate the dynamic changes in brain activity. Examples include time course ca…