State-space models (SSM) are central to describe time-varying complex systems in countless signal processing applications such as remote sensing, networks, biomedicine, and finance name a few. Inference prediction SSMs possible when the model parameters known, which is rarely case. The estimation of these crucial, not only for performing statistical analysis, but also uncovering underlying stru...