Multivariate density estimation

Multivariate density estimation is a statistical method used to understand the distribution of data involving multiple variables simultaneously. It helps identify how data points are spread out across different dimensions and how they relate to each other. Instead of just looking at one variable at a time, it creates a "map" or model showing where data is concentrated and patterns that might exist across variables. This approach is useful in analyzing complex datasets, making predictions, and uncovering relationships, all while capturing the full structure of the data in a comprehensive way.