Follow
Minh-Ngoc Tran
Title
Cited by
Cited by
Year
Speeding up MCMC by efficient data subsampling
M Quiroz, M Villani, R Kohn, MN Tran
Journal of the American Statistical Association, 2018
2332018
Bayesian Adaptive Lasso
C Leng, MN Tran, D Nott
Annals of the Institute of Statistical Mathematics, 2014
1702014
Variational Bayes with intractable likelihood
MN Tran, DJ Nott, R Kohn
Journal of Computational and Graphical Statistics 26 (4), 873-882, 2017
1142017
Central limit theorem for functional of jump Markov processes
VH Nguyen, QH Vuong, MN Tran
Springer, 2005
982005
Bayesian Deep Net GLM and GLMM
MN Tran, N Nguyen, D Nott, R Kohn
Journal of Computational and Graphical Statistics, 2019
852019
Variational Bayes with Synthetic Likelihood
VMH Ong, DJ Nott, MN Tran, SA Sisson, CC Drovandi
Statistics and Computing, 2017
702017
The structural features and the deliberative quality of online discussions
W Zhang, X Cao, MN Tran
Telematics and informatics 30 (2), 74-86, 2013
592013
Importance sampling squared for Bayesian inference in latent variable models
MN Tran, M Scharth, MK Pitt, R Kohn
Behavior Research Methods, 2013
542013
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, 2016
51*2016
Hamiltonian Monte Carlo with energy conserving subsampling
KD Dang, M Quiroz, R Kohn, MN Tran, M Villani
Journal of Machine Learning Research, 2017
472017
Speeding up MCMC by delayed acceptance and data subsampling
M Quiroz, MN Tran, M Villani, R Kohn
Journal of Computational and Graphical Statistics, 2017
442017
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
402018
A practical tutorial on Variational Bayes
MN Tran
312020
Subsampling sequential Monte Carlo for static Bayesian models
D Gunawan, KD Dang, M Quiroz, R Kohn, MN Tran
Statistics and Computing, 2018
312018
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
302018
Subsampling MCMC-an introduction for the survey statistician
M Quiroz, M Villani, R Kohn, MN Tran, KD Dang
Sankhya A 80, 33-69, 2018
28*2018
A statistical recurrent stochastic volatility model for stock markets
TN Nguyen, MN Tran, D Gunawan, R Kohn
Journal of Business & Economic Statistics 41 (2), 414-428, 2023
26*2023
The block pseudo-marginal sampler
MN Tran, R Kohn, M Quiroz, M Villani
arXiv preprint arXiv:1603.02485, 2016
262016
New estimation approaches for the linear ballistic accumulator model
D Gunawan, S Brown, R Kohn, MN Tran
Journal of Mathematical Psychology, 2018
25*2018
Block-wise pseudo-marginal Metropolis-Hastings
MN Tran, R Kohn, M Quiroz, M Villani
242016
The system can't perform the operation now. Try again later.
Articles 1–20