Minh-Ngoc Tran
Minh-Ngoc Tran
Senior Lecturer, University of Sydney
Verified email at sydney.edu.au - Homepage
Cited by
Cited by
Speeding up MCMC by efficient data subsampling
M Quiroz, M Villani, R Kohn, MN Tran
Journal of the American Statistical Association, 2018
Bayesian Adaptive Lasso
C Leng, MN Tran, D Nott
Annals of the Institute of Statistical Mathematics, 2014
Adversarial Robustness Toolbox v1. 0.0
MI Nicolae, M Sinn, MN Tran, B Buesser, A Rawat, M Wistuba, ...
arXiv preprint arXiv:1807.01069, 2018
Variational Bayes with intractable likelihood
MN Tran, DJ Nott, R Kohn
Journal of Computational and Graphical Statistics 26 (4), 873-882, 2017
Variational Bayes with Synthetic Likelihood
VMH Ong, DJ Nott, MN Tran, SA Sisson, CC Drovandi
Statistics and Computing, 2017
The structural features and the deliberative quality of online discussions
W Zhang, X Cao, MN Tran
Telematics and informatics 30 (2), 74-86, 2013
Importance sampling squared for Bayesian inference in latent variable models
MN Tran, M Scharth, MK Pitt, R Kohn
arXiv:1309.3339, 2013
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
Speeding up MCMC by delayed acceptance and data subsampling
M Quiroz, MN Tran, M Villani, R Kohn
Journal of Computational and Graphical Statistics, 2017
Likelihood-free inference in high dimensions with synthetic likelihood
VMH Ong, DJ Nott, MN Tran, SA Sisson, CC Drovandi
Computational Statistics & Data Analysis 128, 271-291, 2018
Hamiltonian Monte Carlo with energy conserving subsampling
KD Dang, M Quiroz, R Kohn, MN Tran, M Villani
Journal of Machine Learning Research, 2017
Block-wise pseudo-marginal Metropolis-Hastings
MN Tran, R Kohn, M Quiroz, M Villani
Simultaneous variable selection and component selection for regression density estimation with mixtures of heteroscedastic experts
MN Tran, DJ Nott, R Kohn
Electronic Journal of Statistics 6, 1170-1199, 2012
Variational approximation for heteroscedastic linear models and matching pursuit algorithms
DJ Nott, MN Tran, C Leng
Statistics and Computing 22 (2), 497-512, 2012
Penalized maximum likelihood principle for choosing ridge parameter
MN Tran
Communications in Statistics-Simulation and Computation 38 (8), 1610-1624, 2009
Subsampling sequential Monte Carlo for static Bayesian models
D Gunawan, KD Dang, M Quiroz, R Kohn, MN Tran
arXiv preprint arXiv:1805.03317, 2018
Improving the efficiency of fully Bayesian optimal design of experiments using randomised quasi-Monte Carlo
CC Drovandi, MN Tran
Bayesian Analysis 13 (1), 139-162, 2018
The block pseudo-marginal sampler
MN Tran, R Kohn, M Quiroz, M Villani
arXiv preprint arXiv:1603.02485, 2016
The ensemble Kalman filter is an ABC algorithm
DJ Nott, L Marshall, TM Ngoc
Statistics and Computing 22 (6), 1273-1276, 2012
Central limit theorem for functional of jump Markov processes
VH Nguyen, QH Vuong, MN Tran
Springer, 2005
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