Maxent

Maxent, short for Maximum Entropy, is a statistical modeling technique used to predict outcomes based on incomplete information. It operates on the principle of making the least biased predictions by assuming that all possibilities are equally likely, given the known data. This approach is often applied in fields like ecology, linguistics, and machine learning, where it helps identify patterns and distributions. Essentially, Maxent seeks to draw conclusions that maintain the highest level of uncertainty about unknown variables, relying on available evidence without making unfounded assumptions.