Kernel Density Estimation, Regression, Differential Equations, Data Science, Statistics.
regression seems to be overfitting the data considerably, the regularized version “stays on course”. Another feature of the proposed model: it might be better at imputing missing data. Here is a chart illustrating the same regression techniques but where all the data points between 1920 and 1970