Nested modeling involves creating models within models, where one model's output serves as an input to another, allowing for more complex and hierarchical data relationships to be captured. This approach is particularly useful in scenarios involving multilevel or hierarchical data structures, enabling more accurate predictions and insights by accounting for nested data dependencies.