14 citations · 35 across the 35 of their papers we have counts for
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stat.AP2026
GeoMix: A Bayesian Framework for Stratigraphic and Geotechnical Inference
Bradley Wakefield, Michael Bertolacci, David Gunawan +3
Accurate characterisation of subsea sediments is essential for engineering projects such as offshore wind farms, but the challenging environment and large spatial domains involved…
econ.EM2026
Flexible Bayesian Models for Time-Varying Income Distributions
David Gunawan
Survey data are widely used to study how income inequality, poverty, and welfare evolve over time. A common practice is to estimate the income distribution separately for each year…
stat.CO2026
Neural Inference Functions for Margins for Time Series Copula Models
Daniel Fynn, David Gunawan, Andrew Zammit-Mangion
Copula models are widely employed in multivariate time series analysis because they permit flexible modelling of marginal distributions independently of the dependence structure, w…