| 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 | 37 | 2020 |
| Subsampling sequential Monte Carlo for static Bayesian models D Gunawan, KD Dang, M Quiroz, R Kohn, MN Tran Statistics and Computing 30, 1741-1758, 2020 | 33 | 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 | 27 | 2020 |
| Variational Bayes approximation of factor stochastic volatility models D Gunawan, R Kohn, D Nott International Journal of Forecasting 37 (4), 1355-1375, 2021 | 25 | 2021 |
| 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 | 24 | 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, 1148-1165, 2021 | 21 | 2021 |
| Fast inference for intractable likelihood problems using variational Bayes D Gunawan, MN Tran, R Kohn arXiv preprint arXiv:1705.06679, 2017 | 21 | 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 | 18 | 2016 |
| A flexible particle Markov chain Monte Carlo method EF Mendes, CK Carter, D Gunawan, R Kohn Statistics and Computing 30, 783-798, 2020 | 16* | 2020 |
| Mixed marginal copula modeling D Gunawan, MA Khaled, R Kohn Journal of Business & Economic Statistics 38 (1), 137-147, 2020 | 16 | 2020 |
| A long short-term memory stochastic volatility model N Nguyen, MN Tran, D Gunawan, R Kohn arXiv preprint arXiv:1906.02884, 120, 2019 | 16 | 2019 |
| Flexible Variational Bayes based on a Copula of a Mixture D Gunawan, R Kohn, D Nott Journal of Computational and Graphical Statistics, 1-16, 2024 | 14 | 2024 |
| 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 | 14 | 2019 |
| A statistical recurrent stochastic volatility model for stock markets TN Nguyen, MN Tran, D Gunawan, R Kohn Journal of Business & Economic Statistics 41 (2), 414-428, 2023 | 13 | 2023 |
| Time-evolving psychological processes over repeated decisions. D Gunawan, GE Hawkins, R Kohn, MN Tran, SD Brown Psychological review 129 (3), 438, 2022 | 13 | 2022 |
| Forward prediction of surface wave elevations and motions of offshore floating structures using a data-driven model J Chen, I Milne, PH Taylor, D Gunawan, W Zhao Ocean Engineering 281, 114680, 2023 | 12 | 2023 |
| Wave-by-wave prediction for spread seas using a machine learning model with physical understanding J Chen, PH Taylor, IA Milne, D Gunawan, W Zhao Ocean Engineering 285, 115450, 2023 | 11 | 2023 |
| Flexible and robust particle tempering for state space models D Gunawan, R Kohn, MN Tran Econometrics and Statistics, 2022 | 11 | 2022 |
| 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 | 10 | 2020 |
| Efficient selection between hierarchical cognitive models: Cross-validation with variational Bayes. VH Dao, D Gunawan, MN Tran, R Kohn, GE Hawkins, SD Brown Psychological Methods 29 (1), 219, 2024 | 8 | 2024 |