What is another word for ideal observer analysis?
Pronunciation: [a͡ɪdˈi͡əl ɒbzˈɜːvəɹ ɐnˈaləsˌɪs] (IPA) 
Ideal observer analysis refers to a theoretical method for analyzing and predicting how an ideal observer would perceive a particular stimulus or make a decision in a given situation. Synonyms for this term include Bayesian ideal observer analysis, statistical decision theory, signal detection theory, and optimal decision theory. These terms all describe approaches to understanding how the brain processes and interprets information based on various probabilities and biases. While the specifics of each method may vary, the overarching goal of all of these approaches is to better understand how humans perceive and respond to information, and to use this understanding to improve decision-making and prediction.
