TY - JOUR
T1 - Poisson-Gamma mixture processes and applications to premium calculation
AU - Wu, Shujin
N1 - Publisher Copyright:
© 2020 Taylor & Francis Group, LLC.
PY - 2022
Y1 - 2022
N2 - In the paper, Poisson-Gamma mixture process is first brought forward, which is dynamically expanded from the well-known Poisson-Gamma mixture model. Some properties on Poisson-Gamma mixture process are presented, including the distribution of increment, Markov property, infinitesimal generator, joint density function of jump/waiting times, and the limit distribution of compound Poisson-Gamma mixture process, etc., which provide a thorough grounding in application of Poisson-Gamma mixture process. At last, some premium calculation principles are presented to show the application of Poisson-Gamma mixture process, which include expected value premium, stop-loss premium, mean-variance premium, and exponential premium.
AB - In the paper, Poisson-Gamma mixture process is first brought forward, which is dynamically expanded from the well-known Poisson-Gamma mixture model. Some properties on Poisson-Gamma mixture process are presented, including the distribution of increment, Markov property, infinitesimal generator, joint density function of jump/waiting times, and the limit distribution of compound Poisson-Gamma mixture process, etc., which provide a thorough grounding in application of Poisson-Gamma mixture process. At last, some premium calculation principles are presented to show the application of Poisson-Gamma mixture process, which include expected value premium, stop-loss premium, mean-variance premium, and exponential premium.
KW - 37C75
KW - 60H10
KW - Gamma process
KW - Mixture model
KW - Poisson process
KW - premium calculation
UR - https://www.scopus.com/pages/publications/85097001958
U2 - 10.1080/03610926.2020.1850791
DO - 10.1080/03610926.2020.1850791
M3 - 文章
AN - SCOPUS:85097001958
SN - 0361-0926
VL - 51
SP - 5913
EP - 5936
JO - Communications in Statistics - Theory and Methods
JF - Communications in Statistics - Theory and Methods
IS - 17
ER -