引用次数
引用: 1,822
H-指数: 21
I10-指数 : 42
出版物: 84
The Loss Rank Criterion for Variable Selection in Linear Regression Analysis
MINH-NGOC TRAN
Scandinavian Journal of Statistics 38 ( 3) 466 -479
7
2011
Recurrent conditional heteroskedasticity
Trong‐Nghia Nguyen , Minh‐Ngoc Tran , Robert Kohn ,
Journal of Applied Econometrics 37 ( 5) 1031 -1054
10
2022
Variational Bayes
Minh‐Ngoc Tran , David Nott , Robert Kohn
Wiley StatsRef: Statistics Reference Online 1 -9
1
2014
Bayesian Analysis of Big Data via Subsampling Markov Chain Monte Carlo
Matias Quiroz , Minh‐Ngoc Tran
Wiley StatsRef: Statistics Reference Online 1 -6
2023
Some perspectives on the problem of model selection
TRAN MINH NGOC
1
2011
Subsampling MCMC - An introduction for the survey statistician
Robert Kohn , Minh-Ngoc Tran , Matias Quiroz , Mattias Villani
arXiv: Methodology
18
2018
Assessment and adjustment of approximate inference algorithms using the law of total variance
David J. Nott , Nadja Klein , Minh-Ngoc Tran , Xuejun Yu
arXiv: Computation
8
2019
COMBINED FLEXIBLE ACTIVATION FUNCTIONS FOR DEEP NEURAL NETWORKS
Andrey Vasnev , Junbin Gao , Minh-Ngoc Tran , Renlong Jie
2019
Adaptive Hierarchical Hyper-gradient Descent
Andrey Vasnev , Junbin Gao , Minh-Ngoc Tran , Renlong Jie
arXiv: Learning
4
2021
Bayesian adaptive lasso with variational Bayes for variable selection in high-dimensional generalized linear mixed models
Dao Thanh Tung , Minh-Ngoc Tran , Tran Manh Cuong
Communications in Statistics - Simulation and Computation 48 ( 2) 530 -543
3
2019
Variational Bayes With Intractable Likelihood
Minh-Ngoc Tran , David J. Nott , Robert Kohn
Journal of Computational and Graphical Statistics 26 ( 4) 873 -882
104
2017
Parallel Variational Bayes for Large Datasets With an Application to Generalized Linear Mixed Models
Minh-Ngoc Tran , David J. Nott , Anthony Y. C. Kuk , Robert Kohn
Journal of Computational and Graphical Statistics 25 ( 2) 626 -646
11
2016
Improving the Efficiency of Fully Bayesian Optimal Design of Experiments Using Randomised Quasi-Monte Carlo
Christopher C. Drovandi , Minh-Ngoc Tran
Bayesian Analysis 13 ( 1) 139 -162
11
2018
HyperTube: A Framework for Population-Based Online Hyperparameter Optimization with Resource Constraints
Renlong Jie , Junbin Gao , Andrey Vasnev , Minh-Ngoc Tran
IEEE Access 8 69038 -69057
2020
Likelihood-free inference in high dimensions with synthetic likelihood
Victor M-H Ong , David J Nott , Minh-Ngoc Tran , Scott A Sisson
Computational Statistics & Data Analysis 128 271 -291
17
2018
A Criterion for Optimal Predictive Model Selection
Minh-Ngoc Tran
Communications in Statistics-theory and Methods 40 ( 5) 893 -906
2
2011
Discussion of “Fast sparse regression and classification” by Jerome Friedman
Minh-Ngoc Tran , Paolo Giordani , Robert Kohn
International Journal of Forecasting 28 ( 3) 749 -750
2012
Bayesian adaptive Lasso
Chenlei Leng , Minh-Ngoc Tran , David Nott
Annals of the Institute of Statistical Mathematics 66 ( 2) 221 -244
75
2014
The predictive Lasso
Minh-Ngoc Tran , David J. Nott , Chenlei Leng
Statistics and Computing 22 ( 5) 1069 -1084
14
2012
Variational approximation for heteroscedastic linear models and matching pursuit algorithms
David J. Nott , Minh-Ngoc Tran , Chenlei Leng
Statistics and Computing 22 ( 2) 497 -512
13
2012