no code implementations • 25 May 2024 • Conor Hassan, Joshua J Bon, Elizaveta Semenova, Antonietta Mira, Kerrie Mengersen
We demonstrate the SIGMA prior's effectiveness on synthetic data and showcase its utility in a real-world example of FL for spatial data, using a conditional autoregressive prior to model spatial dependence across Australia.
no code implementations • 31 May 2023 • Elizaveta Semenova, Swapnil Mishra, Samir Bhatt, Seth Flaxman, H Juliette T Unwin
Model-based disease mapping remains a fundamental policy-informing tool in the fields of public health and disease surveillance.
2 code implementations • 9 Apr 2023 • Elizaveta Semenova, Prakhar Verma, Max Cairney-Leeming, Arno Solin, Samir Bhatt, Seth Flaxman
Recent advances have shown that GP priors, or their finite realisations, can be encoded using deep generative models such as variational autoencoders (VAEs).
1 code implementation • 20 Oct 2021 • Elizaveta Semenova, Yidan Xu, Adam Howes, Theo Rashid, Samir Bhatt, Swapnil Mishra, Seth Flaxman
Gaussian processes (GPs), implemented through multivariate Gaussian distributions for a finite collection of data, are the most popular approach in small-area spatial statistical modelling.