Generalized Poisson Models and their Applications in Insurance and Finance

By Vladimir E. Bening, V. Korolev. 2002

78 citations recorded by the source corpus.

Subfields: Demography, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/b1a49c7569224c06c25ba5eb0d1a0d086bd38038

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Demography

1. Victor Yurievich Korolev
2. Harlan Campbell
3. Irina Shevtsova

In Management Science and Operations Research

1. Irina Shevtsova
2. Victor Yurievich Korolev
3. Moshe Adrian
4. Eric T. Bradlow
5. Peter S. Fader
6. Blakeley B. McShane
7. Harlan Campbell

Citations in the corpus

• An improvement of the Berry–Esseen inequality with applications to Poisson and mixed Poisson random sums (2009, background): “The properties of mixedPoisson distributions are des ribed in detail in (Grandell, 1997) and (Bening and Korolev,2002).”
• Count Models Based on Weibull Interarrival Times (2008, background): “Researchers such as Benning and Korolev (2002), Cameron and Trivedi (1998), King (1989), and Shmueli et al (2005) have proposed and discussed a wide variety of generalized count models that can handle overdispersion and underdispersion.”
• The consequences of checking for zero‐inflation and overdispersion in the analysis of count data (2019, background): “One of the most popular statistical models in ecology (and in many other fields, e.g. finance, psychology, neuroscience, and microbiome research (Bening & Korolev, 2012, Loeys et al., 2012, Zoltowski & Pillow, 2018, Xu et al., 2015)) is the Poisson generalized linear model (GLM; Nelder &…”