Kernel Density Estimator
Parameters: | endog : array-like
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Notes
If cdf, sf, cumhazard, or entropy are computed, they are computed based on the definition of the kernel rather than the FFT approximation, even if the density is fit with FFT = True.
Methods
cdf() | Returns the cumulative distribution function evaluated at the support. |
cumhazard() | Returns the hazard function evaluated at the support. |
entropy() | Returns the differential entropy evaluated at the support |
evaluate(point) | Evaluate density at a single point. |
fit([kernel, bw, fft, weights, gridsize, ...]) | Attach the density estimate to the KDE class. |
icdf() | Inverse Cumulative Distribution (Quantile) Function |
sf() | Returns the survival function evaluated at the support. |