Regression analysis, function interpolation, and density function estimation

InRegression AnalysisIn regression, we aim to find a suitable function expression for the input data, which is often used to predict the value of new data. Linear regression (linear regression), where the function form is linear for input data, is so far the most popular and most thorough regression form.

InFunction interpolationIn interpolation, we know the function values corresponding to input data within a certain range. What we need to solve is how to find the function values between the executed data points.

Density function estimation(Density estimation) is used to solve the (probability) density problem of class members (samples) with certain characteristics.