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07/31/2023
Communicating uncertainty in Indigenous sea Country monitoring with Bayesian statistics: towards more informed decision-making
First Nations Australians have a cultural obligation to look after land ...
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03/02/2023
A general Bayesian approach to design adaptive clinical trials with time-to-event outcomes
Clinical trials are an integral component of medical research. Trials re...
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12/20/2022
Robust simulation design for generalized linear models in conditions of heteroscedasticity or correlation
A meta-model of the input-output data of a computationally expensive sim...
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11/18/2022
Being Bayesian in the 2020s: opportunities and challenges in the practice of modern applied Bayesian statistics
Building on a strong foundation of philosophy, theory, methods and compu...
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07/29/2022
A model robust sub-sampling approach for Generalised Linear Models in Big data settings
In today's modern era of Big data, computationally efficient and scalabl...
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06/10/2022
Bayesian Design with Sampling Windows for Complex Spatial Processes
Optimal design facilitates intelligent data collection. In this paper, w...
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02/15/2022
SSNbayes: An R package for Bayesian spatio-temporal modelling on stream networks
Spatio-temporal models are widely used in many research areas from ecolo...
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03/01/2021
General Bayesian L^2 calibration of mathematical models
A general Bayesian method for L^2 calibration of a mathematical model is...
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01/22/2020
Bayesian design for minimising uncertainty in spatial processes
Model-based geostatistical design involves the selection of locations to...
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12/02/2019
SSNdesign – an R package for pseudo-Bayesian optimal and adaptive sampling designs on stream networks
Streams and rivers are biodiverse and provide valuable ecosystem service...
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11/03/2019
Bayesian adaptive N-of-1 trials for estimating population and individual treatment effects
This article presents a novel adaptive design algorithm that can be used...
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09/27/2019
Bayesian decision-theoretic design of experiments under an alternative model
Decision-theoretic Bayesian design of experiments is considered when the...
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03/11/2019
A synthetic likelihood-based Laplace approximation for efficient design of biological processes
Complex models used to describe biological processes in epidemiology and...
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10/31/2018
A framework for automated anomaly detection in high frequency water-quality data from in situ sensors
River water-quality monitoring is increasingly conducted using automated...
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10/30/2018
Predicting Sediment and Nutrient Concentrations in Rivers Using High Frequency Water Quality Surrogates
A particular focus of water-quality monitoring is the concentrations of ...
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03/19/2018