Kyoungjae Lee
Title
Cited by
Cited by
Year
ESTIMATING LARGE PRECISION MATRICES VIA MODIFIED CHOLESKY DECOMPOSITION
K Lee, J Lee
Statistica Sinica 31 (2021), 173-196, 2021
16*2021
Minimax posterior convergence rates and model selection consistency in high-dimensional DAG models based on sparse Cholesky factors
K Lee, J Lee, L Lin
Annals of Statistics 47 (6), 3413-3437, 2019
132019
Optimal Bayesian minimax rates for unconstrained large covariance matrices
K Lee, J Lee
Bayesian Analysis 13 (4), 1215-1233, 2018
122018
Laplace based approximate posterior inference for differential equation models
SC Dass, J Lee, K Lee, J Park
Statistics and Computing 27 (3), 679-698, 2017
112017
Inference for differential equation models using relaxation via dynamical systems
K Lee, J Lee, SC Dass
Computational Statistics & Data Analysis 127, 116-134, 2018
62018
Bayesian group selection in logistic regression with application to MRI data analysis
K Lee, X Cao
Biometrics, 2020
32020
Introduction to the indian buffet process: Theory and applications
Y Lee, K Lee, K Lee, J Lee, J Seo
The Korean Journal of Applied Statistics 28 (2), 251-267, 2015
22015
History and future of Bayesian statistics
J Lee, K Lee, Y Leea
The Korean Journal of Applied Statistics 27 (6), 855-863, 2014
22014
Post-Processed Posteriors for Banded Covariances
K Lee, K Lee, J Lee
arXiv preprint arXiv:2011.12627, 2020
12020
Bayesian bandwidth test and selection for high-dimensional banded precision matrices
K Lee, L Lin
Bayesian Analysis 15 (3), 737-758, 2020
12020
Estimation of Conditional Mean Operator under the Bandable Covariance Structure
K Lee, K Lee, J Lee
arXiv preprint arXiv:2103.06420, 2021
2021
The Beta-Mixture Shrinkage Prior for Sparse Covariances with Posterior Minimax Rates
K Lee, S Jo, J Lee
arXiv preprint arXiv:2101.04351, 2021
2021
Bayesian inference for high-dimensional decomposable graphs
K Lee, X Cao
Electronic Journal of Statistics 15 (1), 1549-1582, 2021
2021
Bayesian variable selection in logistic regression with application to whole-brain functional connectivity analysis for Parkinson’s disease
X Cao, K Lee, Q Huang
Statistical Methods in Medical Research, 0962280220978990, 2020
2020
Bayesian high-dimensional semi-parametric inference beyond sub-Gaussian errors
K Lee, M Chae, L Lin
Journal of the Korean Statistical Society, 1-17, 2020
2020
Bayesian joint inference for multiple directed acyclic graphs
K Lee, X Cao
arXiv preprint arXiv:2008.06190, 2020
2020
Variable Selection Using Nonlocal Priors in High-Dimensional Generalized Linear Models With Application to fMRI Data Analysis
X Cao, K Lee
Entropy 22 (8), 807, 2020
2020
Joint Bayesian Variable and DAG Selection Consistency for High-dimensional Regression Models with Network-structured Covariates
X Cao, K Lee
arXiv preprint arXiv:2004.09306, 2020
2020
Package ‘SHT’
K Lee, L Lin, H Park, K You, MK You
2020
Maximum Pairwise Bayes Factors for Covariance Structure Testing
K Lee, L Lin, D Dunson
arXiv preprint arXiv:1809.03105, 2018
2018
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Articles 1–20