Articles with "conway maxwell" as a keyword



A longitudinal Bayesian mixed effects model with hurdle Conway-Maxwell-Poisson distribution.

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Published in 2020 at "Statistics in medicine"

DOI: 10.1002/sim.8844

Abstract: Dental caries (i.e., cavities) is one of the most common chronic childhood diseases and may continue to progress throughout a person's lifetime. The Iowa Fluoride Study (IFS) was designed to investigate the effects of various… read more here.

Keywords: maxwell poisson; effects model; mixed effects; conway maxwell ... See more keywords

Zero-inflated sum of Conway-Maxwell-Poissons (ZISCMP) regression

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Published in 2019 at "Journal of Statistical Computation and Simulation"

DOI: 10.1080/00949655.2019.1590580

Abstract: Abstract While excess zeros are often thought to cause data over-dispersion (i.e. when the variance exceeds the mean), this implication is not absolute. One should instead consider a flexible class of distributions that can address… read more here.

Keywords: conway maxwell; sum conway; maxwell poissons; inflated sum ... See more keywords

New biased estimators for the Conway–Maxwell-Poisson Model

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Published in 2024 at "Journal of Statistical Computation and Simulation"

DOI: 10.1080/00949655.2024.2421317

Abstract: Recent studies focus on modelling count data, which often shows overdispersion or underdispersion. The Conway–Maxwell–Poisson (COMP) regression model effectively handles such dispersion. However, multicollinearity can negatively impact the maximum likelihood estimator (MLE) by increasing variance.… read more here.

Keywords: maxwell poisson; biased estimators; conway maxwell; model ... See more keywords

Performance analysis of shrinkage estimators in Conway-Maxwell-Poisson regression model

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Published in 2025 at "Communications in Statistics - Theory and Methods"

DOI: 10.1080/03610926.2025.2484449

Abstract: Abstract In the literature of generalized linear models (GLMs), there have been many shrinkage estimation methods in the presence of multicollinearity. Applications of these estimators are often done on logistic, Poisson, gamma, and negative binomial… read more here.

Keywords: poisson; shrinkage; conway maxwell; com poisson ... See more keywords

Dynamic Modeling of Spike Count Data With Conway-Maxwell Poisson Variability.

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Published in 2022 at "Neural computation"

DOI: 10.1162/neco_a_01593

Abstract: In many areas of the brain, neural spiking activity covaries with features of the external world, such as sensory stimuli or an animal's movement. Experimental findings suggest that the variability of neural activity changes over… read more here.

Keywords: time; maxwell poisson; count data; distribution ... See more keywords

A Conway–Maxwell–Poisson-Binomial AR(1) Model for Bounded Time Series Data

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Published in 2023 at "Entropy"

DOI: 10.3390/e25010126

Abstract: Binomial autoregressive models are frequently used for modeling bounded time series counts. However, they are not well developed for more complex bounded time series counts of the occurrence of n exchangeable and dependent units, which… read more here.

Keywords: bounded time; time series; maxwell poisson; poisson binomial ... See more keywords