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stat.ME2024
Bayesian design for mathematical models of fruit growth based on misspecified prior information
Nushrath Najimuddin, David J. Warne, Helen Thompson +1
Bayesian design can be used for efficient data collection over time when the process can be described by the solution to an ordinary differential equation (ODE). Typically, Bayesia…
stat.ME2022
Model-robust Bayesian design through Generalised Additive Models for monitoring submerged shoals
Dilishiya De Silva, Rebecca Fisher, Ben Radford +2
Optimal sampling strategies are critical for surveys of deeper coral reef and shoal systems, due to the significant cost of accessing and field sampling these remote and poorly und…
stat.ME2022
A model robust sub-sampling approach for Generalised Linear Models in Big data settings
Amalan Mahendran, Helen Thompson, James M. McGree
In today's modern era of Big data, computationally efficient and scalable methods are needed to support timely insights and informed decision making. One such method is sub-samplin…