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stat.CO2024
Gaussian process modelling of infectious diseases using the Greta software package and GPUs
Eva Gunn, Nikhil Sengupta, Ben Swallow
Gaussian process are a widely-used statistical tool for conducting non-parametric inference in applied sciences, with many computational packages available to fit to data and predi…
stat.ME2024
Gradient-Based Approximate Bayesian Inference with Entropy-Optimized Summary Statistics for Compartmental Models
Xiahui Li, Fergus J. Chadwick, Ben Swallow
Recent pandemics have highlighted the critical role of infectious disease models in guiding public health decision-making, driving demand for realistic models that can provide time…