David Gunawan
David Gunawan
Verified email at unsw.edu.au
TitleCited byYear
Subsampling sequential Monte Carlo for static Bayesian models
D Gunawan, KD Dang, M Quiroz, R Kohn, MN Tran
arXiv preprint arXiv:1805.03317, 2018
72018
Fast inference for intractable likelihood problems using variational Bayes
D Gunawan, MN Tran, R Kohn
arXiv preprint arXiv:1705.06679, 2017
72017
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 Weighted Inference from Surveys
D Gunawan, A Panagiotelis, W Griffiths, D Chotikapanich
22017
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
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 29 (5), 933-946, 2019
12019
Robustly estimating the marginal likelihood for cognitive models via importance sampling
MN Tran, M Scharth, D Gunawan, R Kohn, SD Brown, GE Hawkins
arXiv preprint arXiv:1906.06020, 2019
12019
New Estimation Approaches for the Linear Ballistic Accumulator Model
D Gunawan, S Brown, R Kohn, MN Tran
arXiv preprint arXiv:1806.10089, 2018
12018
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
Efficiently Combining Pseudo Marginal and Particle Gibbs Sampling
D Gunawan, C Carter, R Kohn
arXiv preprint arXiv:1804.04359, 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
Bayesian assessment of Lorenz and stochastic dominance
D Lander, D Gunawan, W Griffiths, D Chotikapanich
The University of Melbourne Department of Economics-Working Papers Series, 2017
12017
Time-evolving psychological processes over repeated decisions
D Gunawan, GE Hawkins, R Kohn, MN Tran, SD Brown
arXiv preprint arXiv:1906.10838, 2019
2019
A long short-term memory stochastic volatility model
N Nguyen, MN Tran, D Gunawan, R Kohn
arXiv preprint arXiv:1906.02884, 2019
2019
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Articles 1–20