A general maximum likelihood analysis of overdispersion in generalized linear models. - Murray Aitkin (Stat. Comput., 1996)

A hybrid EM/Gauss-Newton algorithm for maximum likelihood in mixture distributions. - Murray Aitkin; Irit Aitkin (Stat. Comput., 1996)

A new test for the presence of a normal mixture distribution based on the posterior Bayes factor. - Murray Aitkin; Steve Finch; Nancy Mendell; Henry C. Thode (Stat. Comput., 1996)

The calibration of P-values, posterior Bayes factors and the AIC from the posterior distribution of the likelihood. - Murray Aitkin (Stat. Comput., 1997)

Reply. - Murray Aitkin (Stat. Comput., 1997)

Regression models for binary longitudinal responses. - Murray Aitkin; Marco Alfò (Stat. Comput., 1998)

Random coefficient models for binary longitudinal responses with attrition. - Marco Alfò; Murray Aitkin (Stat. Comput., 2000)

A general maximum likelihood analysis of measurement error in generalized linear models. - Murray Aitkin; Roberto Rocci (Stat. Comput., 2002)

Statistical modelling of artificial neural networks using the multi-layer perceptron. - Murray Aitkin; Rob Foxall (Stat. Comput., 2003)

Bayesian point null hypothesis testing via the posterior likelihood ratio. - Murray Aitkin; Richard J. Boys; Tom Chadwick (Stat. Comput., 2005)

Variance component models for longitudinal count data with baseline information: epilepsy data revisited. - Marco Alfò; Murray Aitkin (Stat. Comput., 2006)

Statistical modelling of the group structure of social networks. - Murray Aitkin; Duy Vu; Brian Francis (Soc. Networks, 2014)

Variational algorithms for biclustering models. - Duy Vu; Murray Aitkin (Comput. Stat. Data Anal., 2015)