Émilie Chouzenoux

Learning a Sparse Polynomial Approximation to the Transition Function of General State-Space Models

State-space models are a statistical framework for modelling temporal phenomena via a hidden state. In this framework, the hidden state is not observed, and instead a series of related observations are obtained. A state-space model is defined by the state dynamics, which is encoded as a distribution…