The robust estimation method for a finite mixture of Poisson mixed-effect models
When analyzing clustered count data derived from several latent subpopulations, the finite mixture of the Poisson mixed-effect model is an immediate strategy to model the underlying heterogeneity. Within the generalized linear mixed model framework, parameters in such a model are often estimated thr...
Main Authors: | Xiang, Liming, Yau, Kelvin K. W., Lee, Andy H. |
---|---|
Other Authors: | School of Physical and Mathematical Sciences |
Format: | Journal Article |
Language: | English |
Published: |
2013
|
Online Access: | https://hdl.handle.net/10356/97019 http://hdl.handle.net/10220/13106 |
Similar Items
-
A two-part mixed-effects model for analyzing clustered time-to-event data with clumping at zero
by: Zhao, Jian, et al.
Published: (2022) -
EpiMix: a novel method to estimate effective reproduction number
by: Jin, Shihui, et al.
Published: (2024) -
Poisson discretizations of Wiener functionals and Malliavin operators with Wasserstein estimates
by: Privault, Nicolas, et al.
Published: (2021) -
Robust parameter estimation for one-inflated positive Poisson Lindley distribution under the presence and absence of outliers with applications to crime data
by: Mohd Tajuddin, Razik Ridzuan, et al.
Published: (2024) -
Cardinality estimation for random stopping sets based on Poisson point processes
by: Privault, Nicolas
Published: (2022)