+A Particle Filter is a sequential [Monte Carlo](/wiki/monte_carlo) method that estimates the hidden state of a dynamic system over time. It approximates complex [Probability Distributions](/wiki/probability_distributions) with a cloud of weighted "particles," making it ideal for non-linear or non-Gaussian scenarios where traditional filters falter.
+## See also
+- [Kalman Filter](/wiki/kalman_filter)
+- [Bayesian Inference](/wiki/bayesian_inference)
+- [State Estimation](/wiki/state_estimation)