Daniel E. Clark

Distributed estimation of latent parameters in state space models using separable likelihoods

Motivated by object tracking applications with networked sensors, we consider multi sensor state space models. Estimation of latent parameters in these models requires centralisation because the parameter likelihood depend on the measurement histories of all of the sensors. Consequently, joint proce…