David Gunawan
David Gunawan
Verified email at unsw.edu.au
TitleCited byYear
Fast inference for intractable likelihood problems using variational Bayes
D Gunawan, MN Tran, R Kohn
arXiv preprint arXiv:1705.06679, 2017
72017
Subsampling sequential Monte Carlo for static Bayesian models
D Gunawan, KD Dang, M Quiroz, R Kohn, MN Tran
arXiv preprint arXiv:1805.03317, 2018
62018
Computationally efficient Bayesian estimation of high dimensional copulas with discrete and mixed margins
D Gunawan, MN Tran, K Suzuki, J Dick, R Kohn
arXiv preprint arXiv:1608.06174, 2016
52016
Bayesian inference for state space models using block and correlated pseudo marginal methods
P Choppala, D Gunawan, J Chen, MN Tran, R Kohn
arXiv preprint arXiv:1612.07072, 2016
32016
Mixed marginal copula modeling
D Gunawan, MA Khaled, R Kohn
Journal of Business & Economic Statistics, 1-11, 2018
22018
Bayesian assessment of Lorenz and stochastic dominance using a mixture of gamma densities
D Lander, D Gunawan, WE Griffiths, D Chotikapanich
University of Melbourne, Department of Economics, 2016
22016
Bayesian assessment of Lorenz and stochastic dominance using a mixture of gamma densities
D Lander, D Gunawan, WE Griffiths, D Chotikapanich
University of Melbourne, Department of Economics, 2016
22016
Comparative Analysis on some possible partnership schemes of global IP exchange providers
D Gunawan, K Budiono
arXiv preprint arXiv:1404.2989, 2014
22014
Flexible particle markov chain monte carlo methods with an application to a factor stochastic volatility model
EF Mendes, CK Carter, D Gunawan, R Kohn
arXiv preprint arXiv:1401.1667, 2014
22014
Flexible Density Tempering Approaches for State Space Models with an Application to Factor Stochastic Volatility Models
D Gunawan, R Kohn, C Carter, MN Tran
arXiv preprint arXiv:1805.00649, 2018
12018
Bayesian inference for health inequality and welfare using qualitative data
D Gunawan, WE Griffiths, D Chotikapanich
Economics Letters 162, 76-80, 2018
12018
Efficient Bayesian estimation for flexible panel models for multivariate outcomes: Impact of life events on mental health and excessive alcohol consumption
D Gunawan, D Fiebig, R Kohn
arXiv preprint arXiv:1706.03953, 2017
12017
A long short-term memory stochastic volatility model
N Nguyen, MN Tran, D Gunawan, R Kohn
arXiv preprint arXiv:1906.02884, 2019
2019
New Estimation Approaches for the Linear Ballistic Accumulator Model
D Gunawan, S Brown, R Kohn, MN Tran
arXiv preprint arXiv:1806.10089, 2018
2018
Efficient data augmentation for multivariate probit models with panel data: An application to general practitioner decision-making about contraceptives
V Chin, D Gunawan, DG Fiebig, R Kohn, SA Sisson
arXiv preprint arXiv:1806.07274, 2018
2018
Efficiently Combining Pseudo Marginal and Particle Gibbs Sampling
D Gunawan, C Carter, R Kohn
arXiv preprint arXiv:1804.04359, 2018
2018
Computationally efficient Bayesian estimation of high-dimensional Archimedean copulas with discrete and mixed margins
D Gunawan, MN Tran, K Suzuki, J Dick, R Kohn
Statistics and Computing, 1-14, 2018
2018
Efficient Bayesian inference for multivariate factor stochastic volatility models with leverage
D Gunawan, C Carter, R Kohn
arXiv preprint arXiv:1706.03938, 2017
2017
Bayesian Inference for Health Inequality and Welfare Using Qualitative Data" Abstract: We show how to use Bayesian inference to compare two ordinal categorical distributions …
D Gunawan, W Griffths, D Chotikapanich
The University of Melbourne Department of Economics-Working Papers Series, 2017
2017
Bayesian Weighted Inference from Surveys
D Gunawan, A Panagiotelis, W Griffiths, D Chotikapanich
2017
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Articles 1–20