3 citations · 4 across the 8 of their papers we have counts for
4 papers · 1 filter
Fast Computer Model Calibration using Annealed and Transformed Variational Inference
Dongkyu Derek Cho, Won Chang, Jaewoo Park
Computer models play a crucial role in numerous scientific and engineering domains. To ensure the accuracy of simulations, it is essential to properly calibrate the input parameter…
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…
graph-GPA 2.0: A Graphical Model for Multi-disease Analysis of GWAS Results with Integration of Functional Annotation Data
Qiaolan Deng, Jin Hyun Nam, Ayse Selen Yilmaz +5
Genome-wide association studies (GWAS) have successfully identified a large number of genetic variants associated with traits and diseases. However, it still remains challenging to…