2 citations · 2 across the 2 of their papers we have counts for
5 papers
On arbitrarily underdispersed Conway-Maxwell-Poisson distributions
Alan Huang
We show that the Conway--Maxwell--Poisson distribution can be arbitrarily underdispersed when parametrized via its mean. More precisely, if the mean is an integer then the limi…
Consistent second-order discrete kernel smoothing using dispersed Conway-Maxwell-Poisson kernels
Alan Huang, Lucas Sippel, Thomas Fung
The histogram estimator of a discrete probability mass function often exhibits undesirable properties related to zero probability estimation both within the observed range of count…
Bayesian generalized linear model for over and under dispersed counts
Alan Huang, Andy Sang Il Kim
Bayesian models that can handle both over and under dispersed counts are rare in the literature, perhaps because full probability distributions for dispersed counts are rather diff…
Are profile likelihoods likelihoods? No, but sometimes they can be
Alan Huang, Andy Sangil Kim
We offer our two cents to the ongoing discussion on whether profile likelihoods are "true" likelihood functions, by showing that the profile likelihood function can in fact be iden…
Semiparametric generalized linear models for time-series data
Thomas Fung, Alan Huang
Time-series data in population health and epidemiology often involve non-Gaussian responses. In this note, we propose a semiparametric generalized linear models framework for time-…