Presenter: Alan Huang, UQ

Poisson models for counts make the (very) strong assumption that the conditional variance is equal to the conditional mean. In this talk, we look at a recently-proposed extension of the Conway-Maxwell-Poisson distribution that can handle both overdispersed and underdispersed counts. The exponential family form of these distributions leads to particularly simple estimation and inference procedures from both a frequentist and Bayesian point of view.


Huang, A (2017) “Mean-parametrized Conway-Maxwell-Poisson models for dispersed counts”, Statistical Modelling, 17, 1—22

Huang, A. and Kim, S.I. (2017) “Bayesian inferences for dispersed counts”, in prep.

About Maths Colloquium

The Mathematics Colloquium is directed at students and academics working in the fields of pure and applied mathematics, and statistics. 

We aim to present expository lectures that appeal to our wide audience.

Information for speakers

Information for speakers

Maths colloquia are usually held on Mondays, from 2pm to 3pm, in various locations at St Lucia.

Presentations are 50 minutes, plus five minutes for questions and discussion.

Available facilities include:

  • computer 
  • data projector
  • chalkboard or whiteboard

To avoid technical difficulties on the day, please contact us in advance of your presentation to discuss your requirements.


Richards Building (5)