4 papers
Constructing Contact and Connectivity Matrices for Infectious Disease Modelling
Xiahui Li, Dongni Zhang, Neha Bansal +12
Contact (or mixing, or more generally connectivity) matrices are a fundamental component of modelling and inference for infectious disease epidemiology. Their structure and paramet…
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…
Advances in Approximate Bayesian Inference for Models in Epidemiology
Xiahui Li, Fergus Chadwick, Ben Swallow
Bayesian inference methods are useful in infectious diseases modeling due to their capability to propagate uncertainty, manage sparse data, incorporate latent structures, and addre…
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…