Abstract
We deal with parametric inference and selection problems for jump components in discretely observed diffusion processes with jumps. We prepare several competing parametric models for the Lévy measure that might be misspecified, and select the best model from the aspect of information criteria. We construct quasi-information criteria (QIC), which are approximations of the information criteria based on continuous observations.
Original language | English |
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Pages (from-to) | 516-532 |
Number of pages | 17 |
Journal | Journal of Statistical Planning and Inference |
Volume | 139 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2009 Feb 1 |
Externally published | Yes |
Keywords
- Diffusion processes with jumps
- Discrete observations
- Expectation-unbiasedness
- Lévy measures
- Model selection
- Quasi-information criteria
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty
- Applied Mathematics