Maximum Likelihood Estimation for Generalized Autoregressive Score Models
نویسندگان
چکیده
منابع مشابه
Maximum Likelihood Estimation for Generalized Autoregressive Score Models
The strong consistency and asymptotic normality of the maximum likelihood estimator in observation-driven models usually requires the study of the model both as a filter for the time-varying parameter and as a data generating process (DGP) for observed data. The probabilistic properties of the filter can be substantially different from those of the DGP. This difference is particularly relevant ...
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ژورنال
عنوان ژورنال: SSRN Electronic Journal
سال: 2014
ISSN: 1556-5068
DOI: 10.2139/ssrn.2404276