We discuss the method of moments for a partially and discretely observed model driven by a time-homogeneous Lévy process. We suppose that the unobserved process is an ε-Markov process and that the data, which comes from another process, are available only at regularly spaced time points. Stochastic differential equations are particularly treated among many other possible models. Some illustrative examples are presented with simulations.
|Number of pages||26|
|Journal||Statistical Inference for Stochastic Processes|
|Publication status||Published - 2005|
All Science Journal Classification (ASJC) codes
- Statistics and Probability