Imperial College London

Dr Nick Heard

Faculty of Natural SciencesDepartment of Mathematics

Reader in Statistics
 
 
 
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Contact

 

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

 
 
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Location

 

543Huxley BuildingSouth Kensington Campus

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Summary

 

Summary

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 http://stats.ma.ic.ac.uk/~naheard

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