Kernel Density Estimation, Regression, Differential Equations, Data Science, Statistics.
regression function f is ill-posed, and further assumptions need to be imposed on f. In parametric modelling, we restrict f to some hypothesis space in order for the problem to become well-posed. For example, in linear regression, we restrict f to the space of affine-linear functions, f(x) = m⋅ x +