Minh-Ngoc Tran

Citované v

	Všetky	Od 2020
Citácie	2016	1384
h-index	22	21
i10-index	46	37

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Na základe mandátov na financovanie

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robert kohnProfessor of Economics University of New South WalesOverená e-mailová adresa na: unsw.edu.au
David NottAssociate Professor of Statistics, National University of SingaporeOverená e-mailová adresa na: nus.edu.sg
Matias QuirozUniversity of Technology SydneyOverená e-mailová adresa na: uts.edu.au
David GunawanUniversity of WollongongOverená e-mailová adresa na: uow.edu.au
Mattias VillaniProfessor of Statistics, Stockholm UniversityOverená e-mailová adresa na: stat.su.se
Khue-Dung DangUniversity of Western AustraliaOverená e-mailová adresa na: uwa.edu.au
scott brownschool of psychology, university of newcastleOverená e-mailová adresa na: newcastle.edu.au
Christopher DrovandiProfessor of Statistics, Queensland University of TechnologyOverená e-mailová adresa na: qut.edu.au
Chenlei Leng (冷琛雷)Professor of Statistics, University of WarwickOverená e-mailová adresa na: warwick.ac.uk
M PittKing's College LondonOverená e-mailová adresa na: kcl.ac.uk
Professor Junbin GaoDiscipline of Business Analytics in Business School, The University of SydneyOverená e-mailová adresa na: sydney.edu.au
Scott SissonProfessor of Statistics & Data Science, University of New South WalesOverená e-mailová adresa na: unsw.edu.au
Marcel ScharthUniversity of Sydney Business SchoolOverená e-mailová adresa na: sydney.edu.au
Marcus HutterResearcher@DeepMind & Professor at ANUOverená e-mailová adresa na: anu.edu.au

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Minh-Ngoc Tran

Associate Professor, University of Sydney

Overená e-mailová adresa na: sydney.edu.au - Domovská stránka

Bayesian Computation Statistical Machine Learning Financial Econometrics Experimental Psychology


Názov Zoradiť podľa citácií Zoradiť podľa roka Zoradiť podľa názvu	Citované v Citované v	Rok
Speeding up MCMC by efficient data subsampling M Quiroz, M Villani, R Kohn, MN Tran Journal of the American Statistical Association, 2018	264	2018
Bayesian Adaptive Lasso C Leng, MN Tran, D Nott Annals of the Institute of Statistical Mathematics, 2014	178	2014
Variational Bayes with intractable likelihood MN Tran, DJ Nott, R Kohn Journal of Computational and Graphical Statistics 26 (4), 873-882, 2017	124	2017
Bayesian Deep Net GLM and GLMM MN Tran, N Nguyen, D Nott, R Kohn Journal of Computational and Graphical Statistics, 2019	101	2019
Central limit theorem for functional of jump Markov processes N Van Huu, QH Vuong, MN Tran Vietnam Journal of Mathematics, 2005	84	2005
Variational Bayes with Synthetic Likelihood VMH Ong, DJ Nott, MN Tran, SA Sisson, CC Drovandi Statistics and Computing, 2017	74	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	61	2013
A practical tutorial on Variational Bayes MN Tran	57	2020
Hamiltonian Monte Carlo with energy conserving subsampling KD Dang, M Quiroz, R Kohn, MN Tran, M Villani Journal of Machine Learning Research, 2017	55	2017
Importance sampling squared for Bayesian inference in latent variable models MN Tran, M Scharth, MK Pitt, R Kohn Behavior Research Methods, 2013	55	2013
Speeding up MCMC by delayed acceptance and data subsampling M Quiroz, MN Tran, M Villani, R Kohn Journal of Computational and Graphical Statistics, 2017	49	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	41	2018
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	40	2016
New estimation approaches for the hierarchical Linear Ballistic Accumulator model D Gunawan, GE Hawkins, MN Tran, R Kohn, SD Brown Journal of Mathematical Psychology 96, 102368, 2020	36	2020
Subsampling MCMC-an introduction for the survey statistician M Quiroz, M Villani, R Kohn, MN Tran, KD Dang Sankhya A 80, 33-69, 2018	34*	2018
Adversarial Robustness Toolbox v1. 0.0. arXiv 2018 MI Nicolae, M Sinn, MN Tran, B Buesser, A Rawat, M Wistuba, ... arXiv preprint arXiv:1807.01069, 2018	34	2018
Subsampling sequential Monte Carlo for static Bayesian models D Gunawan, KD Dang, M Quiroz, R Kohn, MN Tran Statistics and Computing, 2018	33	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	32	2018
The block pseudo-marginal sampler MN Tran, R Kohn, M Quiroz, M Villani arXiv preprint arXiv:1603.02485, 2016	30	2016
Block-wise pseudo-marginal Metropolis-Hastings MN Tran, R Kohn, M Quiroz, M Villani	28	2016

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