Deep Rao-Blackwellised Particle Filters for Time Series Forecasting

Neural Information Processing Systems 

However, most systems of practical interest are non-linear, requiring more complex models. Many approximate inference methods have been developed for non-linear dynamical systems: Deterministic methods approximate the filtering and smoothing distributions e.g. by using a Taylor series

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