David Gunawan
David Gunawan
Verified email at uow.edu.au
Title
Cited by
Cited by
Year
Subsampling sequential Monte Carlo for static Bayesian models
D Gunawan, KD Dang, M Quiroz, R Kohn, MN Tran
arXiv preprint arXiv:1805.03317, 2018
162018
Fast inference for intractable likelihood problems using variational Bayes
D Gunawan, MN Tran, R Kohn
arXiv preprint arXiv:1705.06679, 2017
92017
Bayesian weighted inference from surveys
D Gunawan, A Panagiotelis, W Griffiths, D Chotikapanich
Australian & New Zealand Journal of Statistics 62 (1), 71-94, 2020
72020
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
72016
On general sampling schemes for Particle Markov chain Monte Carlo methods
EF Mendes, CK Carter, R Kohn
arXiv preprint arXiv:1401.1667, 2014
7*2014
Mixed marginal copula modeling
D Gunawan, MA Khaled, R Kohn
Journal of Business & Economic Statistics 38 (1), 137-147, 2020
62020
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
62016
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
42019
A long short-term memory stochastic volatility model
N Nguyen, MN Tran, D Gunawan, R Kohn
arXiv preprint arXiv:1906.02884, 2019
32019
Bayesian inference for health inequality and welfare using qualitative data
D Gunawan, WE Griffiths, D Chotikapanich
Economics Letters 162, 76-80, 2018
32018
Robustly estimating the marginal likelihood for cognitive models via importance sampling
MN Tran, M Scharth, D Gunawan, R Kohn, SD Brown, GE Hawkins
Behavior Research Methods, 1-18, 2020
22020
Identifying relationships between cognitive processes across tasks, contexts, and time
L Wall, D Gunawan, SD Brown, MN Tran, R Kohn, GE Hawkins
Behavior Research Methods, 1-18, 2020
22020
New Estimation Approaches for the Hierarchical Linear Ballistic Accumulator Model
D Gunawan, GE Hawkins, MN Tran, R Kohn, S Brown
arXiv preprint arXiv:1806.10089, 2018
22018
Efficiently Combining Pseudo Marginal and Particle Gibbs Sampling
D Gunawan, C Carter, R Kohn
arXiv preprint arXiv:1804.04359, 2018
22018
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, 2018
22018
Bayesian assessment of Lorenz and stochastic dominance
D Lander, D Gunawan, W Griffiths, D Chotikapanich
Canadian Journal of Economics/Revue canadienne d'économique, 2017
22017
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
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
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
12020
The system can't perform the operation now. Try again later.
Articles 1–20