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- David Gunawan
Dr David Gunawan
Associate Investigator
University of Wollongong
Research Interests:
Applied statistics
Bayesian computational algorithms
Bayesian Econometrics
Qualifications:
PhD in Econometrics
Projects
Publications
Invited talks, refereed proceedings and other conference outputs
Gunawan, D.
(2016). Flexible Panel Models for Multivariate Outcomes: Impact of Life Events on Mental Health and Excessive Alcohol Consumption.
22nd International Panel Data Conference.
Journal Articles
Gunawan, D., Griffiths W. E., & Chotikapanich D.
(2018). Bayesian inference for health inequality and welfare using qualitative data.
Economics Letters. 162, 76-80. doi: 10.1016/j.econlet.2017.11.005
Gunawan, D., Carter C., Fiebig D. G., & Kohn R.
(2017). Efficient Bayesian Estimation for Flexible Panel Models for Multivariate Outcomes: Impact of Life events on mental health and excessive alcohol consumption.
Gunawan, D., Khaled M., & Kohn R.
(2017). Mixed Marginal Copula Modeling.
Gunawan, D., Tran M N., Suzuki K.., Dick J.., & Kohn R.
(2016). Computationally efficient Bayesian estimation of high dimensional copulas with discrete and mixed margins.
Technical reports and unrefereed outputs
Gunawan, D., Carter C., & Kohn R.
(2017). Efficient Bayesian inference for multivariate factor stochastic volatility models with leverage.
Gunawan, D., Tran M N., Suzuki K., Dick J., & Kohn R.
(2016). Computationally Efficient Bayesian Estimation of High Dimensional Copulas with Discrete and Mixed Margins.
Gunawan, D., Tran M N., & Kohn R.
(2016). Fast Inference for Intractable Likelihood Problems using Variational Bayes.
Gunawan, D., Khaled M., & Kohn R.
(2016). Mixed Marginal Copula Modeling.
