Imperial College London

Dr Nick Heard

Faculty of Natural SciencesDepartment of Mathematics

Reader in Statistics



+44 (0)20 7594 1490n.heard Website




543Huxley BuildingSouth Kensington Campus





Nick Heard is Reader in Statistics in the Department of Mathematics at Imperial College. His research interests center around computational Bayesian infererence, clustering and changepoint analysis, with a focus on application to large dynamic networks, such as computer networks or social networks, and bioinformatics problems.

Dr Nick Heard's personal web page can be found at

Selected Publications

Journal Articles

Bolton AD, Heard NA, 2018, Malware Family Discovery Using Reversible Jump MCMC Sampling of Regimes, Journal of the American Statistical Association, ISSN:0162-1459, Pages:1-13

Heard N, Rubin-Delanchy P, 2018, Choosing between methods of combining p-values, Biometrika, Vol:105, ISSN:0006-3444, Pages:239-246

Rubin-Delanchy P, Heard NA, Lawson DJ, 2018, Meta-Analysis of Mid-p-Values: Some New Results based on the Convex Order, Journal of the American Statistical Association, ISSN:0162-1459

Heard NA, Turcotte MJM, 2017, Adaptive Sequential Monte Carlo for Multiple Changepoint Analysis, Journal of Computational and Graphical Statistics, Vol:26, ISSN:1061-8600, Pages:414-423

More Publications