David Gunawan
David Gunawan
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Subsampling sequential Monte Carlo for static Bayesian models
D Gunawan, KD Dang, M Quiroz, R Kohn, MN Tran
Statistics and Computing 30 (6), 1741-1758, 2020
Bayesian weighted inference from surveys
D Gunawan, A Panagiotelis, W Griffiths, D Chotikapanich
Australian & New Zealand Journal of Statistics 62 (1), 71-94, 2020
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 53 (1), 78-95, 2021
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
Fast inference for intractable likelihood problems using variational Bayes
D Gunawan, MN Tran, R Kohn
arXiv preprint arXiv:1705.06679, 2017
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
A long short-term memory stochastic volatility model
N Nguyen, MN Tran, D Gunawan, R Kohn
arXiv preprint arXiv:1906.02884, 2019
A flexible Particle Markov chain Monte Carlo method
EF Mendes, CK Carter, D Gunawan, R Kohn
arXiv preprint arXiv:1401.1667, 2014
Mixed marginal copula modeling
D Gunawan, MA Khaled, R Kohn
Journal of Business & Economic Statistics 38 (1), 137-147, 2020
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
Variational Bayes approximation of factor stochastic volatility models
D Gunawan, R Kohn, D Nott
International Journal of Forecasting 37 (4), 1355-1375, 2021
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 53 (3), 1148-1165, 2021
Bayesian assessment of Lorenz and stochastic dominance
D Lander, D Gunawan, W Griffiths, D Chotikapanich
Canadian Journal of Economics/Revue canadienne d'économique 53 (2), 767-799, 2020
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
Bayesian inference for health inequality and welfare using qualitative data
D Gunawan, WE Griffiths, D Chotikapanich
Economics Letters 162, 76-80, 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
On Scalable Particle Markov Chain Monte Carlo
D Gunawan, C Carter, R Kohn
arXiv preprint arXiv:1804.04359, 2018
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
Time-evolving psychological processes over repeated decisions.
D Gunawan, GE Hawkins, R Kohn, MN Tran, SD Brown
Psychological review 129 (3), 438, 2022
A Statistical Recurrent Stochastic Volatility Model for Stock Markets
TN Nguyen, MN Tran, D Gunawan, R Kohn
Journal of Business & Economic Statistics, 1-15, 2022
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