Imperial College London

Professor Nick Heard

Faculty of Natural SciencesDepartment of Mathematics

Chair in Statistics



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




543Huxley BuildingSouth Kensington Campus





Nick Heard is Chair 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.

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

Selected Publications

Journal Articles

Rubin-Delanchy P, Heard NA, Lawson D, 2018, Meta-analysis of mid-p-values: some new results based on the convex order, Journal of the American Statistical Association, Vol:114, ISSN:0162-1459, Pages:1105-1112

Bolton A, Heard N, 2018, Malware family discovery using reversible jump MCMC sampling of regimes, Journal of the American Statistical Association, Vol:113, ISSN:0162-1459, Pages:1490-1502

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

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