Yun-Peng Li

Backward Filtering Forward Deciding in Linear Non-Gaussian State Space Models

The paper considers linear state space models with non-Gaussian inputs and/or constraints. As shown previously, NUP representations (normal with unknown parameters) allow to compute MAP estimates in such models by iterating Kalman smoothing recursions. In this paper, we propose to compute such MAP e…