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statsmodels.nonparametric.kernel_density.KDEMultivariateConditional.loo_likelihood

KDEMultivariateConditional.loo_likelihood(bw, func=<function <lambda> at 0x653c9b0>)[source]

Returns the leave-one-out conditional likelihood of the data.

If func is not equal to the default, what’s calculated is a function of the leave-one-out conditional likelihood.

Parameters:

bw: array_like :

The bandwidth parameter(s).

func: callable, optional :

Function to transform the likelihood values (before summing); for the log likelihood, use func=np.log. Default is f(x) = x.

Returns:

L: float :

The value of the leave-one-out function for the data.

Notes

Similar to KDE.loo_likelihood`, but substitute ``f(y|x)=f(x,y)/f(y) for f(x).

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