Estimation for discretely observed continuous state branching processes with immigration
We study the problem of parameter estimation for the continuous state branching processes with immigration, observed at discrete time points. The weighted conditional least square estimators (WCLSEs) are used for the drift parameters. Under the proper moment conditions, asymptotic distributions of the WCLSEs are obtained in the supercritical, sub- or critical cases.
Year of publication: |
2011
|
---|---|
Authors: | Huang, Jianhui ; Ma, Chunhua ; Zhu, Cai |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 81.2011, 8, p. 1104-1111
|
Publisher: |
Elsevier |
Keywords: | Continuous state branching process Poisson random measure Weighted conditional least square estimator Weak convergence |
Saved in:
Saved in favorites
Similar items by person
-
Optimal premium policy of an insurance firm : full and partial information
Huang, Jianhui, (2010)
-
Wake up or fall asleep-value implication of trusted computing
Hu, Nan, (2009)
-
Growth options and relative performance evaluation
Huang, Jianhui, (2016)
- More ...