Murray Aitkin

13 papers Journal 13
YearRankTypeTitle / Venue / Authors
2015 J jnl
Variational algorithms for biclustering models.
Comput. Stat. Data Anal.
Duy Vu, Murray Aitkin
2014 J jnl
Statistical modelling of the group structure of social networks.
Soc. Networks
Murray Aitkin, Duy Vu, Brian Francis
2006 J jnl
Variance component models for longitudinal count data with baseline information: epilepsy data revisited.
Stat. Comput.
Marco Alfò, Murray Aitkin
2005 J jnl
Bayesian point null hypothesis testing via the posterior likelihood ratio.
Stat. Comput.
Murray Aitkin, Richard J. Boys, Tom Chadwick
2003 J jnl
Statistical modelling of artificial neural networks using the multi-layer perceptron.
Stat. Comput.
Murray Aitkin, Rob Foxall
2002 J jnl
A general maximum likelihood analysis of measurement error in generalized linear models.
Stat. Comput.
Murray Aitkin, Roberto Rocci
2000 J jnl
Random coefficient models for binary longitudinal responses with attrition.
Stat. Comput.
Marco Alfò, Murray Aitkin
1998 J jnl
Regression models for binary longitudinal responses.
Stat. Comput.
Murray Aitkin, Marco Alfò
1997 J jnl
Reply.
Stat. Comput.
Murray Aitkin
1997 J jnl
The calibration of P-values, posterior Bayes factors and the AIC from the posterior distribution of the likelihood.
Stat. Comput.
Murray Aitkin
1996 J jnl
A general maximum likelihood analysis of overdispersion in generalized linear models.
Stat. Comput.
Murray Aitkin
1996 J jnl
A hybrid EM/Gauss-Newton algorithm for maximum likelihood in mixture distributions.
Stat. Comput.
Murray Aitkin, Irit Aitkin
1996 J jnl
A new test for the presence of a normal mixture distribution based on the posterior Bayes factor.
Stat. Comput.
Murray Aitkin, Steve Finch, Nancy Mendell, Henry C. Thode