TY - JOUR
T1 - A note on the class of geometric counting processes
AU - Cha, Ji Hwan
AU - Finkelstein, Maxim
PY - 2013/4
Y1 - 2013/4
N2 - In this paper, we suggest a new class of counting processes, called the Class of Geometric Counting Processes (CGCP), where each member of the counting process in the class has increments described by the geometric distribution. Distinct from the Poisson process, they do not possess the property of independent increments, which usually complicates probabilistic analysis. The suggested CGCP is defined and the dependence structure shared by the members of the class is discussed. As examples of useful applications, we consider stochastic survival models under external shocks. We show that the corresponding survival probabilities under reasonable assumptions can be effectively described by the CGCP without specifying the dependence structure.
AB - In this paper, we suggest a new class of counting processes, called the Class of Geometric Counting Processes (CGCP), where each member of the counting process in the class has increments described by the geometric distribution. Distinct from the Poisson process, they do not possess the property of independent increments, which usually complicates probabilistic analysis. The suggested CGCP is defined and the dependence structure shared by the members of the class is discussed. As examples of useful applications, we consider stochastic survival models under external shocks. We show that the corresponding survival probabilities under reasonable assumptions can be effectively described by the CGCP without specifying the dependence structure.
UR - http://www.scopus.com/inward/record.url?scp=84875736679&partnerID=8YFLogxK
U2 - 10.1017/S026996481200040X
DO - 10.1017/S026996481200040X
M3 - Article
AN - SCOPUS:84875736679
SN - 0269-9648
VL - 27
SP - 177
EP - 185
JO - Probability in the Engineering and Informational Sciences
JF - Probability in the Engineering and Informational Sciences
IS - 2
ER -