Ikuti
Hang J. Kim
Judul
Dikutip oleh
Dikutip oleh
Tahun
Multiple imputation of missing or faulty values under linear constraints
HJ Kim, JP Reiter, Q Wang, LH Cox, AF Karr
Journal of Business & Economic Statistics 32 (3), 375-386, 2014
672014
FRQ-CK1 interaction determines the period of circadian rhythms in Neurospora
X Liu, A Chen, A Caicedo-Casso, G Cui, M Du, Q He, S Lim, HJ Kim, ...
Nature Communications 10 (1), 4352, 2019
492019
Simultaneous edit-imputation for continuous microdata
HJ Kim, LH Cox, AF Karr, JP Reiter, Q Wang
Journal of the American Statistical Association 110 (511), 987-999, 2015
442015
Synthetic microdata for establishment surveys under informative sampling
HJ Kim, J Drechsler, KJ Thompson
Journal of the Royal Statistical Society Series A: Statistics in Society 184 …, 2021
232021
Simultaneous edit-imputation and disclosure limitation for business establishment data
HJ Kim, JP Reiter, AF Karr
Journal of Applied Statistics 45 (1), 63-82, 2018
232018
graph-GPA: a graphical model for prioritizing GWAS results and investigating pleiotropic architecture
D Chung, HJ Kim, H Zhao
PLoS computational biology 13 (2), e1005388, 2017
202017
Statistical disclosure limitation in the presence of edit rules
HJ Kim, AF Karr, JP Reiter
Journal of Official Statistics 31 (1), 121-138, 2015
202015
Bayesian pollution source identification via an inverse physics model
Y Hwang, HJ Kim, W Chang, K Yeo, Y Kim
Computational Statistics & Data Analysis 134, 76-92, 2019
142019
Improving SNP prioritization and pleiotropic architecture estimation by incorporating prior knowledge using graph-GPA
HJ Kim, Z Yu, A Lawson, H Zhao, D Chung
Bioinformatics 34 (12), 2139-2141, 2018
112018
The generalized multiset sampler
HJ Kim, SN MacEachern
Journal of Computational and Graphical Statistics 24 (4), 1134-1154, 2015
102015
Statistical disclosure control for public microdata: present and future
MJ Park, HJ Kim
Korean Journal of Applied Statistics 29 (6), 1041-1059, 2016
82016
A Bayesian multivariate mixture model for high throughput spatial transcriptomics
C Allen, Y Chang, B Neelon, W Chang, HJ Kim, Z Li, Q Ma, D Chung
Biometrics 79 (3), 1775-1787, 2023
72023
A Bayesian multivariate mixture model for spatial transcriptomics data
C Allen, Y Chang, B Neelon, W Chang, HJ Kim, Z Li, Q Ma, D Chung
bioRxiv, 2021.06. 23.449615, 2021
72021
Estimating heterogeneous treatment effects for latent subgroups in observational studies
HJ Kim, B Lu, EJ Nehus, MO Kim
Statistics in medicine 38 (3), 339-353, 2019
72019
Incorporating economic conditions in synthetic microdata for business programs
K Thompson, HJ Kim
Journal of Survey Statistics and Methodology 10 (3), 830-859, 2022
62022
Bayesian causal inference for observational studies with missingness in covariates and outcomes
H Zang, HJ Kim, B Huang, R Szczesniak
Biometrics 79 (4), 3624-3636, 2023
52023
Inferring delays in partially observed gene regulation processes
H Hong, MJ Cortez, YY Cheng, HJ Kim, B Choi, K Josić, JK Kim
Bioinformatics 39 (11), btad670, 2023
52023
Accuracy gains from privacy amplification through sampling for differential privacy
J Hu, JÖ Drechsler, HJ Kim
Journal of Survey Statistics and Methodology 10 (3), 688-719, 2022
52022
GPA-Tree: statistical approach for functional-annotation-tree-guided prioritization of GWAS results
A Khatiwada, BJ Wolf, AS Yilmaz, PS Ramos, M Pietrzak, A Lawson, ...
Bioinformatics 38 (4), 1067-1074, 2022
52022
Bandwidth selection for kernel density estimation with a Markov chain Monte Carlo sample
HJ Kim, SN MacEachern, Y Jung
arXiv preprint arXiv:1607.08274, 2016
52016
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