Bayesian estimation and maximum likelihood methods represent two central paradigms in modern statistical inference. Bayesian estimation incorporates prior beliefs through Bayes’ theorem, updating ...
The non-Gaussian maximum likelihood estimator is frequently used in GARCH models with the intention of capturing heavy-tailed returns. However, unless the parametric likelihood family contains the ...
This is a preview. Log in through your library . Abstract Asymptotic properties of maximum likelihood estimates have been studied so far mainly in the case of independent observations. In this paper ...
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