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dc.contributor.authorReiß, Markusen_US
dc.description.abstractStochastic delay differential equations (SDDEs for short) appear naturally in the description of many processes, e.g. in population dynamics with a time lag due to an age-dependent birth rate (Scheutzow 1981), in economics where a certain "time to build" is needed (Kydland and Prescott 1982) or in laser technology (Garcia-Ojalvo and Roy 1996), in finance (Hobson and Rogers 1998) and in many engineering applications, see Kohmanovskii and Myshkis (1992) for an overview. They are also obtained as continuous-time limits of time series models, e.g. Jeantheau (2001), Reiß (2001). Among the huge variety of types of equations, the so-called affine stochastic delay differential equations form the fundamental class. They generalize the Langevin equation leading to the Ornstein-Uhlenbeck process and appear as continuous-time limits of linear autoregressive schemes.en_US
dc.relation.ispartofseriesDiscussion papers of interdisciplinary research project 373 2003,18en_US
dc.subject.stwStochastischer Prozessen_US
dc.titleAdaptive estimation for affine stochastic delay differential equationsen_US
dc.typeWorking Paperen_US
Appears in Collections:Discussion Papers, SFB 373, HU Berlin

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