6 citations · 18 across the 8 of their papers we have counts for
9 papers
Posterior consistency for the spectral density of non-Gaussian stationary time series
Yifu Tang, Claudia Kirch, Jeong Eun Lee +1
Various nonparametric approaches for Bayesian spectral density estimation of stationary time series have been suggested in the literature, mostly based on the Whittle likelihood ap…
Tree based credible set estimation
Jeong Eun. Lee, Geoff K. Nicholls
Estimating a joint Highest Posterior Density credible set for a multivariate posterior density is challenging as dimension gets larger. Credible intervals for univariate marginals…
Unsupervised MR Motion Artifact Deep Learning using Outlier-Rejecting Bootstrap Aggregation
Gyutaek Oh, Jeong Eun Lee, Jong Chul Ye
Recently, deep learning approaches for MR motion artifact correction have been extensively studied. Although these approaches have shown high performance and reduced computational…
Distortion estimates for approximate Bayesian inference
Hanwen Xing, Geoff K. Nicholls, Jeong Eun Lee
Current literature on posterior approximation for Bayesian inference offers many alternative methods. Does our chosen approximation scheme work well on the observed data? The best…
Calibration procedures for approximate Bayesian credible sets
Jeong Eun Lee, Geoff K. Nicholls, Robin J. Ryder
We develop and apply two calibration procedures for checking the coverage of approximate Bayesian credible sets including intervals estimated using Monte Carlo methods. The user ha…
Weakly informative reparameterisations for location-scale mixtures
Kaniav Kamary, Jeong Eun Lee, Christian P. Robert
While mixtures of Gaussian distributions have been studied for more than a century (Pearson, 1894), the construction of a reference Bayesian analysis of those models still remains…