182 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- The University of MelbourneAU58 papers
- Queensland University of TechnologyAU33 papers
- Monash UniversityAU18 papers
- University of Science and Technology of ChinaCN16 papers
- The University of AdelaideAU10 papers
- Australian Research CouncilAU7 papers
- Centre National de la Recherche ScientifiqueFR6 papers
- Minjiang UniversityCN6 papers
- University of OxfordGB6 papers
- University of Technology SydneyAU6 papers
- UNSW SydneyAU6 papers
- The University of SydneyAU5 papers
5 papers · 1 filter
Innovative Approaches in Soil Carbon Sequestration Modelling for Better Prediction with Limited Data
Mohammad Javad Davoudabadi, Daniel Pagendam, Christopher Drovandi +2
Soil carbon accounting and prediction play a key role in building decision support systems for land managers selling carbon credits, in the spirit of the Paris and Kyoto protocol a…
A Survey of Bayesian Statistical Approaches for Big Data
Farzana Jahan, Insha Ullah, Kerrie L Mengersen
The modern era is characterised as an era of information or Big Data. This has motivated a huge literature on new methods for extracting information and insights from these data. A…
Assessment and adjustment of approximate inference algorithms using the law of total variance
Xuejun Yu, David J. Nott, Minh-Ngoc Tran +1
A common method for assessing validity of Bayesian sampling or approximate inference methods makes use of simulated data replicates for parameters drawn from the prior. Under conti…
Robust Bayesian Synthetic Likelihood via a Semi-Parametric Approach
Ziwen An, David J. Nott, Christopher Drovandi
Bayesian synthetic likelihood (BSL) is now a well established method for performing approximate Bayesian parameter estimation for simulation-based models that do not possess a trac…
Efficient data augmentation for multivariate probit models with panel data: An application to general practitioner decision-making about contraceptives
Vincent Chin, David Gunawan, Denzil G. Fiebig +2
This article considers the problem of estimating a multivariate probit model in a panel data setting with emphasis on sampling a high-dimensional correlation matrix and improving t…