Results 81 to 90 of about 14,479,772 (204)
Generalized Poisson Dynamic Network Models
Count-weighted temporal networks often exhibit unequal dispersion in the edge weights, which cannot be fully explained by modelling observational heterogeneity through latent factors in the conditional mean. Therefore, we propose new dynamic network model classes exploiting the Generalized Poisson distribution to capture both under- and overdispersion.
Carallo, Giulia +2 more
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Optimality of Quasi-Score in the multivariate mean-variance model with an application to the zero-inflated Poisson model with measurement errors [PDF]
, 2006 In a multivariate mean-variance model, the class of linear score (LS) estimators based on an unbiased linear estimating function is introduced. A special member of this class is the (extended) quasi-score (QS) estimator.
Kukush, Alexander +3 more
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Introducing COZIGAM: An R Package for Unconstrained and Constrained Zero-Inflated Generalized Additive Model Analysis [PDF]
Zero-inflation problem is very common in ecological studies as well as other areas. Nonparametric regression with zero-inflated data may be studied via the zero-inflated generalized additive model (ZIGAM), which assumes that the zero-inflated responses ...
Kung-Sik Chan, Hai Liu
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Rect@, 2014 This paper presents the zero-inflated generalised Poisson distribution, which is useful when there is a large presence of zeros in the sample. After presenting the model, we develop a specific program based on Mathematica, overcoming some limitations of ...
García-Artiles, María Dolores +2 more
doaj
Caspian Journal of Health Research, 2018 Background: An important feature of Poisson distribution is the equality of mean and variance. However, additional zeroes in the data may cause over-dispersion in most cases, in which zero-inflated models are recommended.
Roghaye Farhadi Hassankiadeh +3 more
doaj
New Liu Estimators for the Poisson Regression Model: Method and Application [PDF]
A new shrinkage estimator for the Poisson model is introduced in this paper. This method is a generalization of the Liu (1993) estimator originally developed for the linear regression model and will be generalised here to be used instead of the classical
Shukur, Ghazi +3 more
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, 2021 This article focused on the use of generalized Gamma distribution as conjugate prior with Poisson and generalized Poisson likelihoods to handle dispersion in small samples.
ADELEKE , ISMAIL +2 more
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, 2013 RINGKASAN Pengaruh Varian Efek Acak Terhadap Pengestimasian Efek Tetap dalam Model Poisson-Gamma pada HGLM (Hierarchical Generalized Linear Model); Siskha Kusumaningtyas; 2013; 50 Halaman; Jurusan Matematika Fakultas Matematika dan Ilmu ...
Siskha Kusumaningtyas
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Insurance: an R-Program to Model Insurance Data [PDF]
Data sets from car insurance companies often have a high-dimensional complex dependency structure. The use of classical statistical methods such as generalized linear models or Tweedie?s compound Poisson model can yield problems in this case. Christmann (
Christmann, Andreas +1 more
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Bivariate Poisson and Diagonal Inflated Bivariate Poisson Regression Models in R [PDF]
In this paper we present an R package called bivpois for maximum likelihood estimation of the parameters of bivariate and diagonal inflated bivariate Poisson regression models. An Expectation-Maximization (EM) algorithm is implemented.
Dimitris Karlis, Ioannis Ntzoufras
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