Imperial College London

DrNicholasHeard

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

Fowler A, Heard NA, 2012, On two-way Bayesian agglomerative clustering of gene expression data, Statistical Analysis and Data Mining, Vol:5, ISSN:1932-1864, Pages:463-476

Heard NA, 2011, Iterative Reclassification in Agglomerative Clustering, Journal of Computational and Graphical Statistics, Vol:20, ISSN:1061-8600, Pages:920-936

Heard NA, Weston DJ, Platanioti K, et al., 2010, BAYESIAN ANOMALY DETECTION METHODS FOR SOCIAL NETWORKS, Annals of Applied Statistics, Vol:4, ISSN:1932-6157, Pages:645-662

Bushel PR, Heard NA, Gutman R, et al., 2009, Dissecting the fission yeast regulatory network reveals phase-specific control elements of its cell cycle, BMC Systems Biology, Vol:3, ISSN:1752-0509

More Publications