activity
20142026
most citedBayesian Inference for State Space Models using Block and Correlated Pseudo Marginal Methods

14 citations · 35 across the 35 of their papers we have counts for

collaborators
Showing stat.APShow all

5 papers · 1 filter

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…

stat.AP2025

Neural posterior inference with state-space models for calibrating ice sheet simulators

Bao Anh Vu, Andrew Zammit-Mangion, David Gunawan +2

Ice sheet models are routinely used to quantify and project an ice sheet's contribution to sea level rise. In order for an ice sheet model to generate realistic projections, its pa…

stat.AP2021

Inequality in Education: A Comparison of Australian Indigenous and Nonindigenous Populations

David Gunawan, William Griffiths, Duangkamon Chotikapanich

Educational achievement distributions for Australian indigenous and nonindigenous populations in the years 2001, 2006, 2014 and 2017 are considered. Bayesian inference is used to a…

stat.AP2019

Identifying relationships between cognitive processes across tasks, contexts, and time

Laura Wall, David Gunawan, Scott D. Brown +3

It is commonly assumed that a specific testing occasion (task, design, procedure, etc.) provides insights that generalise beyond that occasion. This assumption is infrequently care…

stat.AP2019

Time-evolving psychological processes over repeated decisions

David Gunawan, Guy E. Hawkins, Robert Kohn +2

Many psychological experiments have subjects repeat a task to gain the statistical precision required to test quantitative theories of psychological performance. In such experiment…