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Khue-Dung Dang
Khue-Dung Dang
Verified email at unimelb.edu.au
Title
Cited by
Cited by
Year
The block-Poisson estimator for optimally tuned exact subsampling MCMC
M Quiroz, MN Tran, M Villani, R Kohn, KD Dang
arXiv preprint arXiv:1603.08232, 2016
392016
Hamiltonian Monte Carlo with energy conserving subsampling
KD Dang, M Quiroz, R Kohn, T Minh-Ngoc, M Villani
Journal of machine learning research 20, 2019
352019
Subsampling sequential Monte Carlo for static Bayesian models
D Gunawan, KD Dang, M Quiroz, R Kohn, MN Tran
Statistics and Computing 30 (6), 1741-1758, 2020
232020
An analysis of the spatial association between deforestation and agricultural field sizes in the tropics and subtropics
DKD Dang, AC Patterson, LR Carrasco
PloS One 14 (1), e0209918, 2019
152019
Subsampling MCMC-An introduction for the survey statistician
M Quiroz, M Villani, R Kohn, MN Tran, KD Dang
Sankhya A 80 (1), 33-69, 2018
152018
The block-Poisson estimator for optimally tuned exact subsampling MCMC
M Quiroz, MN Tran, M Villani, R Kohn, KD Dang
Journal of Computational and Graphical Statistics 30 (4), 877-888, 2021
62021
Subsampling MCMC-A review for the survey statistician
M Quiroz, M Villani, R Kohn, MN Tran, KD Dang
arXiv preprint arXiv:1807.08409, 2018
32018
Fitting structural equation models via variational approximations
KD Dang, L Maestrini
Structural Equation Modeling: A Multidisciplinary Journal, 1-15, 2022
12022
Bayesian structural equation modeling for data from multiple cohorts
KD Dang, LM Ryan, T Akkaya-Hocagil, RJ Cook, GA Richardson, NL Day, ...
arXiv preprint arXiv:2012.12085, 2020
12020
Bayesian outcome selection modelling
KD Dang, LM Ryan, RJ Cook, T Akkaya-Hocagil, SW Jacobson, ...
arXiv preprint arXiv:2203.11439, 2022
2022
Efficient Hamiltonian Monte Carlo for large data sets by data subsampling
DKD Dang
Journal and Proceedings of the Royal Society of New South Wales 152 (473/474 …, 2019
2019
Subsampling sequential Monte Carlo for static Bayesian models
D Gunawan, KD Dang, M Quiroz, R Kohn, MN Tran
arXiv preprint arXiv:1805.03317, 2018
2018
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