3 citations · 4 across the 8 of their papers we have counts for
4 papers · 1 filter
Coherent and robust Bayesian inference under informative sampling via sample-level weight models
Kosuke Morikawa, Jae Kwang Kim, Won Chang
We develop two complementary Bayesian procedures for analytic inference under informative sampling. The first constructs a coherent likelihood by modeling the sample-level distribu…
Synthetic Data Generation With Incomplete Survey Data Under Informative Sampling
Ayat Almomani, Won Chang, Youngdeok Hwang +2
We propose a Bayesian framework for data synthesis and imputation in complex survey settings with informative sampling. To address variance underestimation in existing Bayesian app…
A Bayesian Convolutional Neural Network-based Generalized Linear Model
Yeseul Jeon, Won Chang, Seonghyun Jeong +2
Convolutional neural networks (CNNs) provide flexible function approximations for a wide variety of applications when the input variables are in the form of images or spatial data.…
A Spatio-Temporal Dirichlet Process Mixture Model for Coronavirus Disease-19
Jaewoo Park, Seorim Yi, Won Chang +1
Understanding the spatio-temporal patterns of the coronavirus disease 2019 (COVID-19) is essential to construct public health interventions. Spatially referenced data can provide r…