Filtering notes (I): signal plus noise models

Part I of the filtering notes series: Part I: signal plus noise models Part II: state-space-models Part III: state-space-models Introduction From tracking epidemics and predicting financial markets to controlling complex systems like rockets and personalising online experiences, many real-world problems rely on understanding and processing sequential data. In machine learning, this includes…