Vu Duy, M. Aitkin, D. Vu. Variational algorithms for biclustering models. Computational Statistics & Data Analysis, 89, 12-24, 2015. doi: 10.1016/j.csda.2015.02.015.
M. Aitkin, D. Vu, Brian Francis. A new Bayesian approach for determining the number of components in a finite mixture. Metron-International Journal Of Statistics, 73, 155-176, 2015. doi: 10.1007/s40300-015-0068-1.
M. Aitkin, D. Vu, B. Francis. Statistical modelling of the group structure of social networks. Social Networks, 38, 74-87, 2014. doi: 10.1016/j.socnet.2014.03.002.
M. Aitkin, J. Polak, Various authors. Contributed Discussion on Article by Muller and Mitra. Bayesian Analysis, 8, 323-356, 2013. doi: 10.1214/13-BA811D.
M. Aitkin, I. Aitkin. Statistical Modeling of the National Assessmentof Educational Progress. 1-159, Springer, 2011. doi: 10.1007/978-1-4419-9937-5.
M. Aitkin, B. Francis, J Hinde, R Darnell. Statistical modelling in R. Oxford University Press, 2009.
M. Aitkin, CC Liu, T Chadwick. Bayesian model comparison and model averaging for small-area estimation. Annals of Applied Statistics, 3, 199-221, 2009. doi: 10.1214/08-AOAS205.
Alfo, M. Aitkin, M Alfò. Variance component models for longitudinal count data with baseline information: epilepsy data revisited. Statistics and Computing, 16, 231-238, 2006. doi: 10.1007/s11222-006-7072-5.
M. Aitkin, RJ Boys, T Chadwick. Bayesian point null hypothesis testing via the posterior likelihood ratio. Statistics and Computing, 15, 217-230, 2005. doi: 10.1007/s11222-005-1310-0.
M. Aitkin, I. Aitkin. Bayesian inference for factor scores. 207-222, Lawrence Erlbaum Associates, 2005. doi: 10.4324/9781410612977.