14 citations · 36 across the 11 of their papers we have counts for
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stat.CO2020
A Scalable Partitioned Approach to Model Massive Nonstationary Non-Gaussian Spatial Datasets
Benjamin Seiyon Lee, Jaewoo Park
Nonstationary non-Gaussian spatial data are common in many disciplines, including climate science, ecology, epidemiology, and social sciences. Examples include count data on diseas…
stat.CO2020
Bayesian Indirect Inference for Models with Intractable Normalizing Functions
Jaewoo Park
Inference for doubly intractable distributions is challenging because the intractable normalizing functions of these models include parameters of interest. Previous auxiliary varia…
stat.ME2020
Bayesian Shrinkage for Functional Network Models, with Applications to Longitudinal Item Response Data
Jaewoo Park, Yeseul Jeon, Minsuk Shin +2
Longitudinal item response data are common in social science, educational science, and psychology, among other disciplines. Studying the time-varying relationships between items is…