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09/13/2023
Adaptive sampling method to monitor low-risk pathways with limited surveillance resources
The rise of globalisation has led to a sharp increase in international t...
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11/25/2022
GLM for partially pooled categorical predictors with a case study in biosecurity
National governments use border information to efficiently manage the bi...
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09/16/2022
Sparse high-dimensional linear regression with a partitioned empirical Bayes ECM algorithm
Bayesian variable selection methods are powerful techniques for fitting ...
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05/27/2022
MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models
State-of-the-art causal discovery methods usually assume that the observ...
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12/19/2021
Temporal and spectral governing dynamics of Australian hydrological streamflow time series
We use new and established methodologies in multivariate time series ana...
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12/07/2021
Federated Causal Discovery
Causal discovery aims to learn a causal graph from observational data. T...
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05/13/2019
Variational approximations using Fisher divergence
Modern applications of Bayesian inference involve models that are suffic...
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10/01/2018