Jamie Scott

I am a PhD candidate in Statistics at Imperial College London, supervised by Professor Axel Gandy and funded by an EPSRC scholarship. Prior to the PhD, I received an MRes from UCL, an MSc in Statistics from Imperial and an MA from the University of Cambridge.

My current research involves developing methodology for inference in complex networks. See my research interests here.

526 Huxley Building
Department of Mathematics
Imperial College London, SW7 2AZ
james.scott15 "at" imperial.ac.uk

Research

My research interests include computational statistics (Monte Carlo methods and approximate inference), inference methodologies in inverse problems and complex network analysis. I am particularly interested in the instersection of these fields, and am currently developing novel MCMC methods for conditional inference in complex networks. Particular areas of interest include:

Methodology for conditional inference in network data
Inference in linear inverse problems, with application to network tomography and the statistical analysis of tables.
Monte Carlo methods, in particular Markov Chain Monte Carlo and sequential importance sampling
Hamiltonian Monte Carlo