Parametric Inference for Stochastic Differential Equations
Stochastic dierential equations (SDEs) proved a fundamental mathematical tool to model dynamics subject to randomness and are nowadays a necessary instrument in e.g. nancial mathematics, neuronal modelling, population growth and physiological modelling. In realistic applications SDEs parameters are unknown quantities that have to be estimated from available data. However inference for SDEs is non-