In recent years, with the acceleration of global urbanization and industrialization, the emissions of greenhouse gases, mainly carbon dioxide, have increased sharply, and the problem of environmental ...
Kernel density estimation (KDE) is a cornerstone of non-parametric statistics, offering a flexible means to infer an underlying probability density from finite samples without assuming a predetermined ...