Announcement 19/08/2022: Due to Covid-19, the speaker is not able to present his talk,
so this seminar is cancelled.
Can discrete distributions be arbitrarily underdispersed?
so this seminar is cancelled.
Can discrete distributions be arbitrarily underdispersed?
Speaker: Alan Huang, University of Queensland
Time: 14h-15h
Zoom link at https://uni-sydney.zoom.us/j/88489005077
We survey a range of popular count distributions, investigating which (if any) can be arbitrarily underdispersed, i.e., its variance can be arbitrarily small compared to its mean. A philosophical implication is that certain models failing this criterion should perhaps not be considered "statistical models" according to the extendibility criterion of McCullagh (2002). Four practical implications will be discussed. We
suggest that all generalizations of the Poisson distribution be tested against this property.
Zoom link at https://uni-sydney.zoom.us/j/88489005077
We survey a range of popular count distributions, investigating which (if any) can be arbitrarily underdispersed, i.e., its variance can be arbitrarily small compared to its mean. A philosophical implication is that certain models failing this criterion should perhaps not be considered "statistical models" according to the extendibility criterion of McCullagh (2002). Four practical implications will be discussed. We
suggest that all generalizations of the Poisson distribution be tested against this property.