Kernel Density Estimation, Regression, Differential Equations, Data Science, Statistics.
kernel regression”. Many regression techniques can be derived from minimizing the empirical risk with respect to the quadratic loss function, or the residual sum of squares R[f] with respect to N data points (x₁, y₁), …: The problem of minimizing this expression with respect to the unknown