statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_lognorm¶

statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_lognorm(x, sample, bw)[source]¶

Log-normal kernel for density, pdf, estimation.

Parameters:¶

xarray_like, float

Points for which density is evaluated. x can be scalar or 1-dim.

samplendarray, 1-d

Sample from which kde is computed.

bwfloat

Bandwidth parameter, there is currently no default value for it.

Returns:¶

Components for kernel estimation

Notes

Warning: parameterization of bandwidth will likely be changed

References

[1]

Jin, Xiaodong, and Janusz Kawczak. 2003. “Birnbaum-Saunders and Lognormal Kernel Estimators for Modelling Durations in High Frequency Financial Data.” Annals of Economics and Finance 4: 103–24.