Selected Recent Articles

 

Bioinformatics

  • Mardia, K.V., Nyirongo, V.B., Fallaize, C.J., Barber, S. and Jackson, R.M. Hierarchical Bayesian Modelling of Pharmacophores in Bioinformatics. Biometrics - to appear
  • Frellsen, J., Moltke, I., Thiim, M., Mardia, K.V., Ferkinghoff-Borg, J., and Hamelryck, T. (2009) A Probabilistic Model of RNA Conformational Space. PLoS Computational Biology, 5(6), pp1-11.
  • Green, P.J., Mardia, K.V., Nyirongo, V.B. and Ruffieux, Y. (2010) Bayesian modeling for matching and alignment of biomolecules. In The Oxford Handbook of Applied Bayesian Analysis. O'Hagan, A. and West, M. (Eds.), pp27-50, Oxford University Press.
  • Mardia K.V. (2009) Statistical complexity in protein bioinformatics. LASR2009 Proceedings. Editors A. Gustano, K.V.Mardia and C.J. Fallaize, July7-July9 2009, Leeds, Leeds University Press, pp.9-20.
  • Boomsma, W., Mardia, K.V., Taylor, C.C., Ferkinghoff-Borg, J., Krogh, A. and Hamelryck, T. (2008) A generative, probabilistic model of local protein structure. Proceedings of the National Academy of Sciences, 105, pp.8932-8937.
  • Mardia, K.V., Hughes, G., Taylor, C.C. and Singh, H. (2008) A multivariate von Mises distribution with applications to bioinformatics. Canadian Journal of Statistics, 36, pp. 99-109.
  • Davies, J.R., Jackson, R.M., Mardia, K.V. and Taylor, C.C. (2007) The Poisson index: A new probabilistic model for protein-ligand binding site similarity. Bioinformatics, 23, pp.3001-3008.
  • Mardia, K.V.; Taylor, C.C.; Subramaniam, G.K. (2007) Protein bioinformatics and mixtures of bivariate von Mises distributions for angular data. Biometrics, 63, pp.505-512.
  • Green, P.J. and Mardia, K.V. (2006) Bayesian alignment using hierarchical models, with applications in protein bioinformatics. Biometrika, 93, pp. 235-254.

 

Directional Statistics

  • Mardia, K.V. (2010) Bayesian Analysis for Bivariate von Mises Distributions. Journal of Applied Statistics. 37: 515-528
  • Mardia, K.V., Kent, J.T., Hughes, G. and Taylor, C.C. (2010) Maximum Likelihood Estimation Using Composite Likelihoods for Closed Exponential Families. Biometrika, 96, pp975-982.
  • Downs, T.D.; Mardia, K.V. (2002) Circular regression. Biometrika, 89(3), pp.683-697.

 

Geosciences

  • Dowd, P.A., Martin, J.A., Xu., C., Fowell, R.J. and Mardia, K.V. (2009) A Three-Dimensional Fracture Network Data Set for a Block of Granite. International Journal of Rock Mechanics and Mining Sciences, 46, pp811-818.
  • Mardia, K.V., Nyirongo, V.B., Walder, A.N., Xu, C., Dowd, P.A., Fowell, R.J. and Kent, J.T. (2007) Markov Chain Monte Carlo implementation of rock fracture modelling. Mathematical Geology, 39, pp355-381.
  • Mardia, K.V. (2007) Should geostatistics be model-based? In: Proceedings of the IAMG 2007 Conference: Geomathematics and GIS Analysis of Resources, Environment and Hazards, Beijing, China, pp4-9.

 

Holistic Statistics

  • Mardia, K.V. (2008). Holistic statistics and contemporary life sciences. In LASR Proceedings The Art and Science of Statistical Bioinformatics, S. Barber, P.D. Baxter, A. Gusnanto, and K.V. Mardia (Eds.), pp9-17, Leeds University Press.
  • Mardia, K.V. (2007). Should geostatistics be model-based? In Proceedings of the IAMG 2007 Conference: Geomathematics and GIS Analysis of Resources, Environment and Hazards, Beijing, China, pp4-9.
  • Mardia, K.V. (2006). LASR Workshop's silver anniversary and beyond. In: LASR Proceedings Interdisciplinary Statistics and Bioinformatics, S. Barber, P.D. Baxter, K.V.Mardia, and R.E. Walls (Eds.), pp. 9-15, Leeds University Press.
  • Mardia, K.V. (2006). What is statistical bioinformatics? In: LASR Proceedings Interdisciplinary Statistics and Bioinformatics, S. Barber, P.D. Baxter, K.V.Mardia, and R.E. Walls (Eds.), pp. 17-24, Leeds University Press.
  • Mardia, K.V. and Gilks, W. (2005) Meeting the statistical needs of 21st century science. Significance, 2(4), pp.162-165.
  • Mardia, K.V. (2002) Why is directional statistics pivotal to geosciences? (Opening address) In: 8th Annual Conference IAMG Proceedings, pp.41-47.

 

Image Analysis

  • Mardia, K.V. (2009) Have Statisticians Made Any Real Impact on Image Analysis? Invited talk at the International Conference of the Royal Statistical Society 175th Anniversary, 7-11 September 2009, Edinburgh, p66.
  • Mardia, K.V.; Angulo, J.M. and Goitia, A. (2006) Synthesis of image deformation strategies. Image and Vision Computing, 24, pp.1-12.
  • Mardia, K.V. (2002) Why is directional statistics pivotal to geosciences? (Opening address) In: 8th Annual Conference IAMG Proceedings, pp.41-47.
  • Glasbey, C.; Mardia, K.V. (2001) A penalized likelihood approach to image warping (with discussion). Journal of the Royal Statistical Society Series B: Methodological, 63, pp.465-514.

 

Shape Analysis

  • Kent, J.T.; Mardia, K.V.; McDonnell P. (2006) The complex Bingham quartic distribution and shape analysis. Journal of Royal Statistical Society Series B, 68, 747-765.
  • Mardia, K.V.; Patrangenaru, V. (2005) Directions and projective shapes. Annals of Statistics, 33, pp.1666-1699.
  • Kent, J.T.; Mardia, K.V. (2001) Shape, Procrustes tangent projections and bilateral symmetry. Biometrika, 88, pp.469-485.
  • Mardia, K.V.; Bookstein, F.L. and Moreton, I.J. (2000) Statistical assessment of bilateral symmetry. Biometrika, 87, pp.285-300.

 

Spatial Statistics

  • Mardia, K.V.; Bookstein, F.L.; Kent, J.T.; Meyer, C.R. (2006) Intrinsic random fields and image deformations. Journal of Mathematical Imaging and Vision, 26, pp.59-71.
  • Sahu, S.K.; Mardia, K.V. (2005) A Bayesian kriged Kalman model for short-term forecasting of air pollution levels. Journal of the Royal Statistical Society Series C: Applied Statistics, 54, pp.223-244.