👉 Hyperisotonic refers to a distribution or model where most data points are located on the same side of a line, meaning that all observations lie between two or more values. This property is often used in machine learning and statistical inference to represent distributions as if they were isotropic (or nearly isotropic) or close to isotropic. In other words, hyperisotonic models are designed for situations where data points fall along a straight line, indicating that most observations lie within a certain range.
