A new open-source QGIS plugin called Iterative Density Analysis automates statistically correct kernel density estimation ...
A year of camera-trap monitoring at eight latrines in Espírito Santo produced mean home-range estimates of 12.08 ± 4.43 and ...
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 ...
Gordon Lee et al introduce a data-driven and model-agnostic approach for computing conditional expectations. The new method combines classical techniques with machine learning methods, in particular ...
The KDE procedure performs either univariate or bivariate kernel density estimation. Statistical density estimation involves approximating a hypothesized probability density function from observed ...
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