PriorVAE: encoding spatial priors with variational autoencoders for small-area estimation

Publication
J. R. Soc. Interface
Elizaveta Semenova
Elizaveta Semenova
Lecturer in Biostatistics, Computational Epidemiology and Machine Learning

I work at the intersection of Bayesian inference, spatial statistics and epidemiology.

Adam Howes
Adam Howes
Alumni

I am interested in Bayesian statistics, with applications in global health and biosecurity.

Samir Bhatt
Samir Bhatt
Professor of Machine Learning, Statistics and Public Health

I focus on mathematical, statistical and computer science tools to answer questions in human health and biology.

Swapnil Mishra
Swapnil Mishra
Assistant Professor of Machine Learning and Public Health

I primarily work at intersection of public health, machine learning and Bayesian modelling.

Seth Flaxman
Seth Flaxman
Associate Professor

My research is on scalable methods and flexible models for spatiotemporal statistics and Bayesian machine learning, applied to public policy and social science.