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Asymptotic Statistical Methods for Stochastic Processes

Describes the asymptotic methods for parameter estimation and hypothesis testing based on asymptotic properties of the likelihood ratios in the case where an observed stochastic process is a semimartingale. This English edition includes an extensive list of references and revised bibliographical notes.

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