Statistical Prediction
Basis functions are a set of functions used to represent data in a transformed space, allowing for flexible modeling of relationships between variables. They form the building blocks of more complex functions, enabling the approximation of non-linear patterns in data. These functions are particularly useful in smoothing techniques and flexible modeling approaches, facilitating the exploration of underlying trends without being overly rigid.
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