Mixed Poisson Distributions
By Dimitris Karlis, Evdokia Xekalaki. 2005
390 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/052bd2de863417427b6615f75c024296058833b0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Aristidis K. Nikoloulopoulos
- Dimitris Karlis
- Zhaohui Wang
- Bent Jørgensen
- Célestin C. Kokonendji
- Xanthi Pedeli
- Lluís Bermúdez
- Ian G. McHale
In Statistics and Probability
- Aristidis K. Nikoloulopoulos
- Célestin C. Kokonendji
- Zhaohui Wang
- Bent Jørgensen
- Dimitris Karlis
- Wagner Hugo Bonat
- John P. Hinde
- Clarice G. B. Dem'etrio
Citations in the corpus
- One mixed negative binomial distribution with application (2011, methodology): “Some mixed Poisson distributions with additional free parameters are used in practice (see Karlis and Xekalaki, 2005).”
- Regression in a copula model for bivariate count data (2010, methodology): “Examples are the bivariate Poisson distribution, described in detail by Kocherlakota and Kocherlakota [16] and its generalizations, based usually on mixtures as described in Aitchinson and Ho [1], Winkelmann [31], Chib and Winkelmann [5], Karlis and Xekalaki [15].”
- Discrete dispersion models and their Tweedie asymptotics (2014, background): “see also Karlis and Xekalaki (2005). The corresponding conditional moment generating function (MGF) is”