Perception
Bayesian inference is a statistical method that applies Bayes' theorem to update the probability of a hypothesis as more evidence or information becomes available. This approach allows individuals to combine prior beliefs with new data, leading to more accurate conclusions. By integrating various sources of information, Bayesian inference plays a crucial role in understanding how we perceive and make sense of the world, especially in scenarios where multiple sensory inputs are involved, where sound location can be influenced by visual cues, and in situations where perception can shift between different interpretations.
congrats on reading the definition of Bayesian inference. now let's actually learn it.