Minh-Ngoc Tran
Minh-Ngoc Tran
Senior Lecturer, University of Sydney
Verifierad e-postadress på sydney.edu.au - Startsida
TitelCiteras avÅr
Bayesian Adaptive Lasso
C Leng, MN Tran, D Nott
Annals of the Institute of Statistical Mathematics, 2014
812014
Speeding up MCMC by efficient data subsampling
M Quiroz, M Villani, R Kohn, MN Tran
Journal of the American Statistical Association, 2018
742018
Variational Bayes with intractable likelihood
MN Tran, DJ Nott, R Kohn
Journal of Computational and Graphical Statistics 26 (4), 873-882, 2017
532017
Variational Bayes with Synthetic Likelihood
VMH Ong, DJ Nott, MN Tran, SA Sisson, CC Drovandi
Statistics and Computing, 2017
342017
Importance sampling squared for Bayesian inference in latent variable models
MN Tran, M Scharth, MK Pitt, R Kohn
arXiv:1309.3339, 2013
332013
The structural features and the deliberative quality of online discussions
W Zhang, X Cao, MN Tran
Telematics and informatics 30 (2), 74-86, 2013
312013
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
252016
Speeding up MCMC by delayed acceptance and data subsampling
M Quiroz, MN Tran, M Villani, R Kohn
Journal of Computational and Graphical Statistics, 2017
172017
Penalized maximum likelihood principle for choosing ridge parameter
MN Tran
Communications in Statistics-Simulation and Computation 38 (8), 1610-1624, 2009
172009
Adversarial Robustness Toolbox v0. 4.0
MI Nicolae, M Sinn, MN Tran, A Rawat, M Wistuba, V Zantedeschi, ...
arXiv preprint arXiv:1807.01069, 2018
162018
Block-wise pseudo-marginal Metropolis-Hastings
MN Tran, R Kohn, M Quiroz, M Villani
152016
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
152012
Variational approximation for heteroscedastic linear models and matching pursuit algorithms
DJ Nott, MN Tran, C Leng
Statistics and Computing 22 (2), 497-512, 2012
142012
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
132018
Central limit theorem for functional of jump Markov processes
VH Nguyen, QH Vuong, MN Tran
Springer, 2005
112005
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
92018
The ensemble Kalman filter is an ABC algorithm
DJ Nott, L Marshall, TM Ngoc
Statistics and Computing 22 (6), 1273-1276, 2012
92012
Hamiltonian Monte Carlo with energy conserving subsampling
KD Dang, M Quiroz, R Kohn, MN Tran, M Villani
Journal of Machine Learning Research, 2017
82017
Copula-type Estimators for Flexible Multivariate Density Modeling using Mixtures
MN Tran, P Giordani, X Mun, R Kohn, M Pitt
Journal of Computational and Graphical Statistics, 2013
82013
The loss rank criterion for variable selection in linear regression analysis
M Tran
Scandinavian Journal of Statistics 38 (3), 466-479, 2011
82011
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Artiklar 1–20