Learning state and proposal dynamics in state-space models using differentiable particle filters and neural networks

Benjamin Cox, Santiago Segarra, Victor Elvira

State-space models are a popular statistical framework for analysing sequential data. Within this framework, particle filters are often used to perform inference on non-linear stat…