Kernel Density Estimation, Regression, Differential Equations, Data Science, Statistics.
have been discarded from analysis: Image by author We can leverage this robustness against missing data and try and extrapolate the time series to future scenarios. While conventional kernel regression is surely useful for interpolation, we can expect the technique to fail miserably at this task.