The Winter School will centre around the planet’s biosphere (the coupled system of physical and biological systems that support human life), and how mathematical modelling can help conserve and sustain it in the face of anthropogenic change. Themes and speakers to be announced.
Sequential Monte Carlo (SMC) is a robust computational method for simulation-based inference including Bayesian statistics. It can facilitate sampling from complex probability distributions and optimising challenging functions where other methods fail. Exciting new research has extended SMC to distributed settings and developed novel SMC algorithms for new applications. This workshop will foster discussion and collaboration […]
