State Space Models

State space models are a mathematical framework used to analyze and predict the behavior of complex systems by representing their internal state and dynamics. In the tech community, state space models are particularly relevant for startups working on projects involving time-series forecasting, signal processing, and control systems, as they provide a powerful tool for modeling and optimizing system performance, enabling data-driven decision-making and improved product development.