Home Page of Dr N A Heard

Dr. Nicholas A. Heard

Dr Nicholas Heard


Teaching :

COMP 245 (MEng 2.4) STATISTICS I for the Department of Computing.

M3S14/M4S14 - Survival Models and Actuarial Applications for the Department of Mathematics.

Research Interests :

- Monitoring large dynamic networks.
- Statistical approaches to clustering and classification in genomic data analysis.
- Computational Bayesian inference.

Software :

C++ code for Gaussian process clustering of multidimensional time series

Some Publications:

  • Heard, N. A. (2011). Iterative Reclassification in Agglomerative Clustering. The Journal of Computational and Graphical Statistics, 20, 4, 920-936.
  • Heard, N. A., Weston, D. J., Platanioti, K. and Hand, D. J. (2010) Bayesian Anomaly Detection Methods for Social Networks. Annals of Applied Statistics, 4, 2, 645-662.
  • Heard, N. A., Holmes, C. C. and Stephens, D. A. (2006) A quantitative study of gene regulation involved in the immune response of Anopheline mosquitoes: An Application of Bayesian Hierarchical Clustering of Curves. Journal of the American Statistical Association, 101, 473, 18-29.

  • Heard, N. A., Holmes, C. C., Stephens, D. A., Hand, D. J. and Dimopoulos, G. (2005) Bayesian Co-clustering of Anopheles Gene Expression Time Series: A Study of Immune Defense Response To Multiple Experimental Challenges. Proceedings of the National Academy of Science USA, 102, 47, 16939-16944. (Online abstract)

  • Hand, D. J. and Heard, N. A. (2005) Finding groups in gene expression data. Journal of Biomedicine and Biotechnology, 2, 215-225. (Online pdf)

  • Holmes, C. C. and Heard, N. A. (2003) Generalized monotonic regression using random change points. Statistics in Medicine, 22, 4, 623-638. (Online pdf)

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