3 papers
stat.ME2026
Computationally Efficient Experimental Design with Generalized Posteriors
Luke Hagar, James M. McGree
The hybrid approach to experimental design aims to control frequentist operating characteristics of Bayesian decision procedures. These operating characteristics are assessed by si…
stat.ME2025
A subsampling approach for large data sets when the Generalised Linear Model is potentially misspecified
Amalan Mahendran, Helen Thompson, James M. McGree
Subsampling is a computationally efficient and scalable method to draw inference in large data settings based on a subset of the data rather than needing to consider the whole data…
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…