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stat.ME2020
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…
stat.ME2019
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…
stat.ME2016
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-…