On a correlated aggregate claims model with Poisson and Erlang risk processes
By Kam Chuen Yuen, Junyi Guo, Xueyuan Wu. 2002
90 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Demography, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/6aec74e74e250a8cf72448dd80b4c5e987e8d267
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
In Demography
In Management Science and Operations Research
Citations in the corpus
- Optimal proportional reinsurance with common shock dependence (2015, background): “Although research on risk models with dependent risk is increasing rapidly in recent years (see, for example, Wang (1998), Yuen et al. (2002, 2006), and the references therein), very few of these contributions deal with the problem in relation to optimal reinsurance.”
- On a correlated aggregate claims model with thinning-dependence structure (2005, unknown): “(10) Then, we have E[exp{rSI(t)}] = exp{tgI(r)}.”
- On the ruin probabilities of a bidimensional perturbed risk model (2007, unknown): “Following the recent works of Ambagaspitiya (1998), Cossette and Marceau (2000), Yuen et al. (2002) (2006), Chan et al. (2003), Wang and Yuen (2005), and Cai and Li (2005), we consider a bidimensional insurance risk process perturbed by diffusion, in which the bidimensional surplus process R(t) =…”
- Optimal dynamic reinsurance with dependent risks: variance premium principle (2016, methodology): “Remark 2.1 It follows from Yuen et al. (2002) or Wang & Yuen (2005) that St is also a compound Poisson process with parameter λ̃ = λ1 + λ2 + λ, and that the distribution of the transformed claim size random variable X ′ is given by FX ′(x) = λ1 λ̃ FX (x) + λ2 λ̃ FY (x) + λ λ̃ FX+Y (x).”